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Citrix XenDesktop on vSphere Nutanix Reference Architecture Version 1.1 • July 2016 • RA-2022

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Page 1: Citrix XenDesktop on vSphere

Citrix XenDesktopon vSphere

Nutanix Reference Architecture

Version 1.1 • July 2016 • RA-2022

Page 2: Citrix XenDesktop on vSphere

Citrix XenDesktop on vSphere

Copyright | 2

Copyright

Copyright 2016 Nutanix, Inc.

Nutanix, Inc.1740 Technology Drive, Suite 150San Jose, CA 95110

All rights reserved. This product is protected by U.S. and international copyright and intellectualproperty laws.

Nutanix is a trademark of Nutanix, Inc. in the United States and/or other jurisdictions. All othermarks and names mentioned herein may be trademarks of their respective companies.

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Contents

1. Executive Summary................................................................................ 5

2. Introduction..............................................................................................62.1. Audience........................................................................................................................ 62.2. Purpose..........................................................................................................................6

3. Nutanix Enterprise Cloud Platform Overview.......................................73.1. Nutanix Acropolis Overview...........................................................................................73.2. Distributed Storage Fabric.............................................................................................83.3. App Mobility Fabric........................................................................................................83.4. AHV................................................................................................................................83.5. Nutanix Acropolis Architecture...................................................................................... 8

4. Application Overview............................................................................124.1. What Is Citrix XenDesktop?........................................................................................ 124.2. Citrix XenDesktop the Nutanix Way............................................................................ 16

5. Solution Design..................................................................................... 195.1. Desktop Optimizations.................................................................................................245.2. XenDesktop Machine Creation Services..................................................................... 245.3. XenDesktop Provisioning Services..............................................................................285.4. Nutanix: Compute and Storage................................................................................... 335.5. Network........................................................................................................................33

6. Solution Application..............................................................................356.1. Scenario: 400 Desktops.............................................................................................. 356.2. Scenario: 800 Desktops.............................................................................................. 366.3. Scenario: 1,600 Desktops........................................................................................... 376.4. Scenario: 3,200 Desktops........................................................................................... 386.5. Scenario: 6,400 Desktops........................................................................................... 396.6. Scenario: 12,800 Desktops......................................................................................... 406.7. Scenario: 25,600 Desktops......................................................................................... 41

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7. Validation and Benchmarking..............................................................437.1. Environment Overview.................................................................................................437.2. Test Environment Configuration.................................................................................. 437.3. Login VSI Benchmark..................................................................................................467.4. How to Interpret the Results....................................................................................... 47

8. Results....................................................................................................498.1. MCS: 360 Office Worker Desktops............................................................................. 498.2. MCS: 300 Knowledge Worker Desktops.....................................................................518.3. PVS: 360 Office Worker Desktops.............................................................................. 538.4. PVS: 300 Knowledge Worker Desktops......................................................................55

9. Further Research...................................................................................58

10. Conclusion........................................................................................... 59

Appendix......................................................................................................................... 60Configuration....................................................................................................................... 60About the Author.................................................................................................................61About Nutanix......................................................................................................................61

List of Figures................................................................................................................62

List of Tables................................................................................................................. 65

Page 5: Citrix XenDesktop on vSphere

Citrix XenDesktop on vSphere

1. Executive Summary | 5

1. Executive Summary

This document makes recommendations for the design, optimization, and scaling of CitrixXenDesktop deployments on Nutanix. It shows the scalability of the Nutanix enterprise cloudplatform and provides detailed performance and configuration information about the cluster’sability to scale when used for XenDesktop deployments.

We used Login VSI to simulate real-world workloads and the conditions of a XenDesktopenvironment using MCS and PVS on Nutanix. The sizing data and recommendations in thisdocument come from multiple testing iterations and thorough technical validation.

We completed the solution and testing data with Citrix XenDesktop deployed on VMwarevSphere, both running on the Nutanix platform. In a Citrix XenDesktop deployment on Nutanix,desktop user density is based primarily on the available host CPU resources, not I/O or resourcebottlenecks for MCS and PVS deployments. Login VSI Office Worker test results show thatdensities of over 120 Office Worker desktops per node (counting four per 2RU appliance) arepossible. Most VDI deployments fall into the Knowledge Worker category, and the Login VSIKnowledge Worker test demonstrates that in this category Nutanix can accommodate more than100 desktops per node, including four per 2RU appliance. We determined sizing for the podsafter carefully considering performance and accounting for the additional resources needed for N+1 failover capabilities.

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2. Introduction | 6

2. Introduction

2.1. AudienceThis reference architecture is part of the Nutanix Solutions Library and is intended forarchitecting, designing, managing, and supporting Nutanix infrastructures. Consumers of thisdocument should be familiar with VMware vSphere, Citrix XenDesktop, and Nutanix.

We have organized this document to address key items for each role, focusing on enabling asuccessful design, implementation, and transition to operation.

2.2. PurposeThis document covers the following subject areas:

• Overview of the Nutanix solution.

• Overview of Citrix XenDesktop and its use cases.

• The benefits of Citrix XenDesktop on Nutanix.

• Architecting a complete Citrix XenDesktop solution on the Nutanix platform.

• Design and configuration considerations when architecting a Citrix XenDesktop solution onNutanix.

• Benchmarking Citrix XenDesktop performance on Nutanix.

Table 1: Document Version History

Version Number Published Notes

1.0 June 2015 Original publication.

1.1 July 2016 Updated platform overview.

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3. Nutanix Enterprise Cloud Platform Overview | 7

3. Nutanix Enterprise Cloud Platform Overview

3.1. Nutanix Acropolis OverviewNutanix delivers a hyperconverged infrastructure solution purpose-built for virtualization andcloud environments. This solution brings the performance and economic benefits of web-scalearchitecture to the enterprise through the Nutanix enterprise cloud platform, which is composedof two product families—Nutanix Acropolis and Nutanix Prism.

Attributes of this solution include:

• Storage and compute resources hyperconverged on x86 servers.

• System intelligence located in software.

• Data, metadata, and operations fully distributed across entire cluster of x86 servers.

• Self-healing to tolerate and adjust to component failures.

• API-based automation and rich analytics.

Nutanix Acropolis can be broken down into three foundational components: the DistributedStorage Fabric (DSF), the App Mobility Fabric (AMF), and AHV. Prism provides one-clickinfrastructure management for virtual environments running on Acropolis. Acropolis is hypervisoragnostic, supporting two third-party hypervisors—ESXi and Hyper-V—in addition to the nativeNutanix hypervisor, AHV.

Figure 1: Nutanix Enterprise Cloud Platform

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3.2. Distributed Storage FabricThe Distributed Storage Fabric (DSF) delivers enterprise data storage as an on-demandservice by employing a highly distributed software architecture. Nutanix eliminates the need fortraditional SAN and NAS solutions while delivering a rich set of VM-centric software-definedservices. Specifically, the DSF handles the data path of such features as snapshots, clones, highavailability, disaster recovery, deduplication, compression, and erasure coding.

The DSF operates via an interconnected network of Controller VMs (CVMs) that form a Nutanixcluster, and every node in the cluster has access to data from shared SSD, HDD, and cloudresources. The hypervisors and the DSF communicate using the industry-standard NFS, iSCSI,and SMB3 protocols.

3.3. App Mobility FabricThe App Mobility Fabric (AMF) is the Nutanix virtualization solution that allows apps to moveacross hypervisors. When virtual machines can move between hypervisors (for example,between VMware ESXi and AHV), administrators can host production and dev/test environmentsconcurrently on different hypervisors and shift workloads between them as needed. AMF isimplemented via a distributed, scale-out service that runs inside the CVM on every node within aNutanix cluster.

3.4. AHVNutanix ships with a hardened, enterprise-ready hypervisor based on proven open sourcetechnology. AHV is managed with the Prism interface, a robust REST API, and an interactivecommand-line interface called aCLI (Acropolis CLI). These tools combine to eliminate themanagement complexity typically associated with open source environments and allow out-of-the-box virtualization on Nutanix—all without the licensing fees associated with other hypervisors.

3.5. Nutanix Acropolis ArchitectureAcropolis does not rely on traditional SAN or NAS storage or expensive storage networkinterconnects. It combines highly dense storage and server compute (CPU and RAM) into asingle-platform building block. Each building block is based on industry-standard Intel processortechnology and delivers a unified, scale-out, shared-nothing architecture with no single points offailure.

The Nutanix solution has no LUNs to manage, no RAID groups to configure, and no complicatedstorage multipathing to set up. All storage management is VM-centric, and the DSF optimizesI/O at the VM virtual disk level. There is one shared pool of storage that includes flash-based

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SSDs for high performance and HDDs for affordable capacity. The file system automatically tiersdata across different types of storage devices using intelligent data placement algorithms. Thesealgorithms make sure that the most frequently used data is available in memory or in flash for thefastest possible performance.

Figure 2: Information Life Cycle Management

With the DSF, a CVM writes data to local flash memory for fast acknowledgment; the CVM alsohandles read operations locally for reduced latency and fast data delivery.

The figure below shows an overview of the Nutanix architecture, including the hypervisor of yourchoice (AHV, ESXi, or Hyper-V), user VMs, the Nutanix storage CVM, and its local disk devices.Each CVM connects directly to the local storage controller and its associated disks. Using localstorage controllers on each host localizes access to data through the DSF, thereby reducingstorage I/O latency. The DSF replicates writes synchronously to at least one other Nutanix nodein the system, distributing data throughout the cluster for resiliency and availability. Replicationfactor 2 (RF2) creates two identical data copies in the cluster, and replication factor 3 (RF3)creates three identical data copies. Having a local storage controller on each node ensures thatstorage performance as well as storage capacity increase linearly with node addition.

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Figure 3: Overview of the Nutanix Architecture

Local storage for each Nutanix node in the architecture appears to the hypervisor as one largepool of shared storage. This allows the DSF to support all key virtualization features. Datalocalization maintains performance and quality of service (QoS) on each host, minimizing theeffect noisy VMs have on their neighbors’ performance. This functionality allows for large,mixed-workload clusters that are more efficient and more resilient to failure when compared totraditional architectures with standalone, shared, and dual-controller storage arrays.

When VMs move from one hypervisor to another, such as during live migration and highavailability, the now local CVM serves a newly migrated VM’s data. When reading old data(stored on the now remote CVM) the local CVM forwards the I/O request to the remote CVM. Allwrite I/O occurs locally. The DSF detects that I/O is occurring from a different node and migratesthe data to the local node in the background, allowing for all read I/O to now be served locally.The data only migrates when there have been enough reads and writes from the remote node tominimize network utilization.

The next figure shows how data follows the VM as it moves between hypervisor nodes.

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Figure 4: Data Locality and Live Migration

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4. Application Overview | 12

4. Application Overview

4.1. What Is Citrix XenDesktop?Citrix XenDesktop is a desktop virtualization solution that transforms desktops and applicationsinto a secure, on-demand service available to any user, anywhere, on any device. WithXenDesktop, you can deliver individual Windows, web, and SaaS applications, or full virtualdesktops, to PCs, Macs, tablets, smartphones, laptops, and thin clients with a high-definition userexperience.

Citrix XenDesktop provides a complete virtual desktop delivery system by integrating severaldistributed components with advanced configuration tools that simplify the creation and real-timemanagement of the virtual desktop infrastructure.

The core components of XenDesktop are:

• Desktop Delivery Controller

Installed on servers in the datacenter, the controller authenticates users, manages theassembly of users' virtual desktop environments, and brokers connections between users andtheir virtual desktops. It controls the state of the desktops, starting and stopping them basedon demand and administrative configuration. The Citrix license needed to run XenDesktopalso includes profile management in some editions to manage user personalization settings invirtualized or physical Windows environments.

• Studio

Citrix Studio is the management console that allows you to configure and manage your CitrixXenDesktop environment. It provides different wizard-based deployment or configurationscenarios to publish resources using desktops or applications.

• Virtual Desktop Provisioning powered by Citrix Machine Creation Services

Machine Creation Services (MCS) is the building mechanism of the Citrix Desktop DeliveryController that automates and orchestrates the deployment of desktops using a single image.MCS communicates with the orchestration layer of your hypervisor, providing a robust andflexible method of image management.

• Virtual Desktop Provisioning powered by Citrix Provisioning Services

Provisioning Services (PVS) creates and provisions virtual desktops from a single desktopimage on demand, optimizing storage utilization and providing a pristine virtual desktopto each user every time they log on. Desktop provisioning also simplifies desktop images,

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4. Application Overview | 13

provides optimal flexibility, and offers fewer points of desktop management for bothapplications and desktops.

• Virtual Desktop Agent

Installed on virtual desktops, the agent enables direct FlexCast Management Architecture(FMA) connections between the virtual desktop and user devices.

• Citrix Receiver

Installed on user devices, the Citrix Desktop Receiver enables direct ICA connections fromuser devices to virtual desktops.

• Citrix FlexCast

Citrix XenDesktop with FlexCast delivery technology lets you deliver virtual desktops andapplications tailored to meet the diverse performance, security, and flexibility requirementsof every worker in your organization through a single solution. Centralized, single-instancemanagement helps you deploy, manage, and secure user desktops more easily andefficiently.

Deployment Scenario: Machine Creation Services

Machine Creation Services (MCS) provides images only to desktops virtualized on a hypervisor.The images are contained within the hypervisor pool and then thin-provisioned as needed. Thethin-provisioned virtual desktops use identity management functionality to overcome the newsecurity identity (SID) requirements typical with cloning. MCS is integrated with and managed bythe XenDesktop Controllers and uses the underlying hypervisor’s capabilities.

Figure 5: Machine Creation Services

MCS does not require additional servers; it uses integrated functionality built into CitrixXenServer, Microsoft Hyper-V, and VMware vSphere. As MCS uses hypervisor functionality,

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it is only a viable option for desktops virtualized on a hypervisor. A master desktop image iscreated and maintained within the hypervisor pool. The XenDesktop Controller instructs thehypervisor to create a snapshot of the base image and thin-provision new VMs through the built-in hypervisor functions. However, thin provisioning images often results in cloning issues, aseach provisioned desktop has the same identity as the master. MCS uses special functionalitywithin the XenDesktop Controller and XenDesktop Virtual Desktop Agent (installed within thevirtual desktop image) to build unique identities for each VM; these identities are stored withinthe virtual desktop’s identity disk. This functionality allows each virtual desktop to be unique eventhough it uses the same base image.

Figure 6: Machine Creation Services: vDisks

Deployment Scenario: Provisioning Services

Provisioning Services (PVS) streaming technology allows computers to be provisioned in real-time from a single shared-disk image. Administrators manage all images on the master imageinstead of managing and patching individual systems. The local hard-disk drive of each systemmay be used for runtime data caching or, in some scenarios, removed from the system entirely,which reduces power usage, system failure rates, and security risks. PVS can stream theseimages to both virtual and physical devices.

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Figure 7: Provisioning Services

The PVS solution’s infrastructure is based on software-streaming technology. After installing andconfiguring PVS components, a vdisk is created from a device’s hard drive by taking a snapshotof the OS and application image and then storing that image as a vdisk file on the network. Adevice that is used during this process is called a master target device. The devices that usethose vdisks are called target devices.

vDisks can exist on a Provisioning Server, file share, or, in larger deployments, on a storagesystem with which the Provisioning Server can communicate (iSCSI, SAN, NAS, and CIFS).vDisks can be assigned to a single target device (Private Image Mode) or to multiple targetdevices (Standard Image Mode).

When a target device is turned on, it is set to start up from the network and to communicate witha Provisioning Server. Unlike thin-client technology, processing takes place on the target device(refer to the following figure).

Figure 8: Provisioning Services: vDisks

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4.2. Citrix XenDesktop the Nutanix WayThe Nutanix platform operates and scales Citrix XenDesktop MCS and PVS. The figure belowillustrates the XenDesktop on Nutanix solution.

Figure 9: XenDesktop on Nutanix Conceptual Arch

The Nutanix approach of modular scale-out enables customers to select any initial deploymentsize and grow in more granular data and desktop increments. Customers can realize a fastertime-to-value for their XenDesktop implementation because it removes the hurdle of a large initialinfrastructure purchase.

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The Nutanix solution is fully integrated with the VMware APIs for Array Integration (VAAI) andprovides high-performance SSD flash to enable you to provide the best possible experience tothe end user with the flexibility of a single modular platform.

Running Citrix XenDesktop on Nutanix enables you to run multiple workloads all on the same,scalable converged infrastructure while achieving these benefits:

• Modular incremental scale: With the Nutanix solution you can start small and scale up.A single Nutanix block provides up to 20 TB storage and 400 desktops in a compact2RU footprint. Given the modularity of the solution, you can granularly scale by node (upto approximately 5 TB per 100 desktops); by block (up to approximately 20 TB per 400desktops); or with multiple blocks, giving you the ability to accurately match supply withdemand and minimize the upfront CapEx.

• Integrated: The Nutanix platform provides full support for VAAI allowing you to take advantageof all the latest advancements from VMware and optimize your VDI solution.

• High performance: By using memory caching for read I/O and flash storage for write I/O, youcan deliver high performance throughput in a compact 2RU four-node cluster.

• Change management: Maintain environmental control and separation between development,test, staging, and production environments. Snapshots and fast clones can help in sharingproduction data with nonproduction jobs, without requiring full copies and unnecessary dataduplication.

• Business continuity and data protection: User data and desktops are mission critical and needenterprise-grade data management features including backup and DR. Nutanix provides datamanagement features which can be used the same as they would be for virtual environments.

• Data efficiency: The Nutanix solution is truly VM-centric for all compression policies. Unliketraditional solutions that perform compression mainly at the LUN level, the Nutanix solutionprovides all of these capabilities at the VM and file level, greatly increasing efficiency andsimplicity. These capabilities ensure the highest possible compression and decompressionperformance on a subblock level. By allowing for both inline and post-process compressioncapabilities, the Nutanix solution breaks the bounds set by traditional compression solutions.

• Enterprise-grade cluster management: A simplified and intuitive Apple-like approach tomanaging large clusters, including a converged GUI that serves as a central point for serversand storage, alert notifications, and the bonjour mechanism to automatically detect newnodes in the cluster. As a result, you can spend more time enhancing your environment thanmaintaining it.

• High-density architecture: Nutanix uses an advanced server architecture in which eight IntelCPUs (up to 96 cores) and up to 3 TB of memory are integrated into a single 2RU appliance.Coupled with data archiving and compression, Nutanix can reduce desktop hardwarefootprints by up to 5x.

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• Time-sliced clusters: Like public cloud EC2 environments, Nutanix can provide a trulyconverged cloud infrastructure, allowing you to run your server and desktop virtualization on asingle converged cloud. Get the efficiency and savings you require with a converged cloud ona truly converged architecture.

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5. Solution Design

With the Citrix XenDesktop on Nutanix solution, you gain the flexibility to start small with a singleblock and scale up incrementally a node, a block, or multiple blocks at a time. This providesthe best of both worlds—the ability to start small and grow larger in scale without any impact toperformance.

In the following section we cover the design decisions and rationale for the XenDesktopdeployments on the Nutanix Complete Cluster.

Table 2: Solution Design Decisions

Item Detail Rationale

General

Minimum Size 1x Nutanix block (4 ESXi hosts) Minimum size requirement

Scale Approach Incremental modular scaleAllow for growth from PoC (hundredsof desktops) to massive scale(thousands of desktops)

Scale Unit Node(s), block(s), or pod(s)

Granular scale to precisely meet thecapacity demands

Scale in nx node increments

VMware vSphere

Cluster SizeUp to 12–32 vSphere hosts(minimum of 3 hosts

Isolated fault domains

VMware best practice

Clusters per vCenter Up to 2x24 or 4x12 host clusters Task parallelization

Datastore(s)

1x Nutanix DSF datastore perpod (XenDesktop Server VMs,Provisioning Services Store, VMclones, VAAI clones, and so on)

(Max: 2,000 machines percontainer)

Nutanix handles I/O distribution/localization

n-Controller model

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Item Detail Rationale

InfrastructureServices

Small deployments: sharedcluster

Large deployments: dedicatedcluster

Dedicated infrastructure cluster forlarger deployments (best practice)

Nutanix

Cluster Size Up to 16 nodes Isolated fault domains

Storage Pool(s)1x storage pool (SSD, SATASSD, SATA HDD)

Standard practice

ILM handles tiering

Container(s)

1x container for VMs

1x container for data (not usedhere)

Standard practice

Features and

Enhancements

Increase CVM Memory to 32 GB

Turn on MapReduce Dedupe

MapReduce dedupe needs 32 GB ofRAM to be enabled

Citrix XenDesktop

XenDesktopControllers

Min: 2 (n+1)

Scale: 1 per additional podHA for XenDesktop Controllers

Users per Controller Up to 5,000 users XenDesktop best practice

Load Balancing Citrix NetScaler

Ensures availability of controllers

Balances load between controllersand pods

Citrix Provisioning Services

PVS ServersMin: 2 (n+1)

Scale: 1 per additional podHA for PVS servers

Users per PVSServer

Up to 1,500 streams PVS best practice

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Item Detail Rationale

Load Balancing Provisioning services farm

Ensures availability of PVS servers

Balances load between PVS serversand pods

vDisk Store Dedicated disk on Nutanix Standard practice

Write Cache On local hard driveBest practice if the storage canprovide enough I/O

Citrix StoreFront

StoreFront Servers Min: 2 (n+1) HA for StoreFront servers

Load Balancing Citrix NetScaler

Ensures availability of StoreFrontservers

Balances load between StoreFrontservers

Citrix NetScaler (If Used)

NetScaler Servers Min: 2 HA for NetScaler (active-passive)

Users per NetScalerServer

See product data sheet Varies per model

Load Balancing NetScaler HA

Ensures availability of NetScalerservers

Balances load between NetScalerservers and pods

Highlights from a high-level snapshot of the Citrix XenDesktop on Nutanix Pod are shown in thetable below.

Table 3: Pod Highlights

Item Quantity

Control Pod

# of vCenter Server(s) 1

# of XenDesktop Controller(s) 2

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Item Quantity

# of XenDesktop StoreFront Server(s) 2

Services Pod

# of Nutanix Blocks Up to 4

# of ESXi Hosts Up to 32

# of Nutanix Cluster(s) 1

# of Datastore(s) 1

Figure 10: XenDesktop Pod Overview

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The section below describes the desktop sizing and considerations for hosted virtual andstreamed desktops.

The following are examples of typical scenarios for desktop deployment and use based on theLogin VSI definition.

Table 4: Desktop Scenario Definition

Scenario Definition

Task Workers

Task workers and administrative workers perform repetitive taskswithin a small set of applications, usually at a stationary computer.The applications are usually not as CPU and memory intensive asthe applications used by knowledge workers. Task workers who workspecific shifts might all log in to their virtual desktops at the sametime. Task workers include call center analysts, retail employees, andwarehouse workers.

Knowledge Workers

Knowledge workers’ daily tasks include accessing the Internet,using email, and creating complex documents, presentations, andspreadsheets. Knowledge workers include accountants, salesmanagers, and marketing research analysts.

Power UsersPower users include application developers and people who usegraphics-intensive applications.

The following table proposes some initial recommendations for desktop sizing for a Windows 7desktop.

Note: These are recommendations for sizing and should be modified after a currentstate analysis.

Table 5: Desktop Scenario Sizing

Scenario vCPU Memory Disks

Task Workers 1 1.5 GB 35 GB (OS)

Knowledge Workers 2 2 GB 35 GB (OS)

Power Users 2 4 GB 35 GB+ (OS)

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5.1. Desktop OptimizationsWe used the following high-level desktop optimizations for this design:

• Size desktops appropriately for each particular use case.

• Use a mix of applications installed in gold images and application virtualization, depending onthe scenario.

• Disable unnecessary OS services and applications.

• Redirect home directories or use a profile management tool for user profiles and documents.

For more detail on desktop optimizations refer to the Citrix XenDesktop Windows 7 OptimizationGuide.

5.2. XenDesktop Machine Creation ServicesCitrix MCS uses a standardized model for hosted virtual desktop creation. Using a base ormaster VM, MCS creates clone VMs that consist of a delta and identity disk and that link back tothe base VM’s disks.

The figure below shows the main architectural components of an MCS deployment on Nutanixand the communication path between services.

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Figure 11: MCS Communication

MCS Pod Design

The following table shows highlights from a high-level snapshot of the Citrix XenDesktop onNutanix Hosted Virtual Desktop Pod.

Table 6: MCS Pod Detail

Item Quantity

Control Pod

# of vCenter Server(s) 1

# of XenDesktop Controller(s) 2

# of XenDesktop StoreFront Server(s) 2

Services Pod

# of Nutanix Blocks Up to 4

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Item Quantity

# of ESXi Hosts Up to 16

# of Nutanix Cluster(s) 1

# of Datastore(s) 1

# of Desktops Up to 1,200

Figure 12: MCS Pod Detail

Hosted Virtual Desktop I/O Path with MCS

The figure below describes the high-level I/O path for an MCS-based desktop on Nutanix. Asshown, all I/O operations are handled by the DSF and occur on the local node to provide thehighest possible I/O performance. Read requests for the master VM occur locally for desktopshosted on the same ESXi node and over 10 GbE for desktops hosted on another node.

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Figure 13: MCS I/O Overview

The following figure describes the detailed I/O path for an MCS-based desktop on Nutanix. Allwrite I/O occurs locally on the local node’s SSD tier to provide the highest possible performance.Read requests for the master VM occur locally for desktops hosted on the same ESXi nodeand over 10 GbE for desktops hosted on another node. These reads are served from the high-performance read cache (if cached) or the SSD tier. Each node also saves frequently accesseddata in the read cache for any local data (delta disks and, if used, personal vdisks). Nutanix ILMcontinually monitors data and the I/O patterns to choose the appropriate tier placement.

Figure 14: MCS I/O Detail

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5.3. XenDesktop Provisioning ServicesCitrix PVS streams desktops over the network from a centralized store of master vdisks (OSimages). These vdisks are stored by the PVS server and are delivered by the Citrix Streamservice. During startup, the streamed desktop pulls the configuration using PXE/TFTP and theninitiates communication with the PVS server to continue starting the vdisk.

The next figure shows the main architectural components of a PVS deployment on Nutanix andthe communication path between services.

Figure 15: PVS Communication

PVS Pod Design

The table below highlights a high-level snapshot of the Citrix XenDesktop on Nutanix StreamedDesktop Pod.

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Table 7: PVS Pod Detail

Item Quantity

Control Pod

# of vCenter Server(s) 1

# of XenDesktop Controller(s) 2

# of XenDesktop StoreFront Server(s) 2

# of PVS Server(s) 2

Services Pod

# of Nutanix Blocks Up to 4

# of ESXi Hosts Up to 16

# of Nutanix Cluster(s) 1

# of Datastore(s) 1

# of Desktops Up to 1,200

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Figure 16: PVS Pod Detail

PVS Store and Network Mapping

The following figure shows the mapping for the PVS server’s storage and network. In this casewe used dedicated interfaces for both PVS server management and stream services.

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Figure 17: PVS Component Mapping

Streamed Desktop I/O Path with PVS

The next figure describes the high-level I/O path for a streamed desktop on Nutanix. All write I/Ooperations are handled by the DSF and occur on the local node to provide the highest possible I/O performance. Streamed desktops hosted on the same server as the PVS host are handled bythe host’s local vSwitch and do not use the external network.

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Figure 18: PVS I/O Overview

The figure below describes the detailed I/O path for a streamed desktop on Nutanix. All write I/O (write cache or, if used, personal vdisks) occurs locally on the local node’s SSD tier to providethe highest possible performance. The PVS server’s vdisk store is hosted on the local node’sSSD tier and is also cached in memory. All read requests from the streamed desktop are thenstreamed either from the PVS server’s memory or its vdisk store, which is hosted on the DSF.Each node saves frequently accessed data in the read cache for any local data (write cache,personal vdisks). Nutanix ILM continually monitor data and I/O patterns to choose the appropriatetier placement.

Figure 19: PVS I/O Detail

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5.4. Nutanix: Compute and StorageThe Nutanix enterprise cloud platform provides an ideal combination of high-performancecompute with localized storage to meet any demand. True to this capability, this referencearchitecture contains zero reconfiguration of or customization to the Nutanix product to optimizefor this use case.

The following figure shows a high-level example of the relationship between a Nutanix block,node, storage pool, and container.

Figure 20: Nutanix Component Architecture

The table below shows the Nutanix storage pool and container configuration.

Table 8: Nutanix Storage Configuration

Name Role Details

SP01 Main storage pool for all dataPCI-e SSD, SATA, SSD,SATA-HDD

CTR-RF2-VM-01 Container for all VMs ESXi: Datastore

CTR-RF2-DATA-01 Container for all data (not used here) ESXi: Datastore

5.5. NetworkDesigned for true linear scaling, we use a leaf-spine network architecture. A leaf-spinearchitecture consists of two network tiers: an L2 leaf and an L3 spine based on 40 GbE andnonblocking switches. This architecture maintains consistent performance without any throughputreduction due to a static maximum of three hops from any node in the network.

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The figure below shows a design of a scaled-out leaf-spine network architecture that provides20 Gb active throughput from each node to its L2 leaf and scalable 80 Gb active throughputfrom each leaf to spine switch, providing scale from one Nutanix block to thousands without anyimpact to available bandwidth.

Figure 21: Leaf-Spine Network Architecture

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6. Solution Application

This section applies Nutanix pod-based reference architecture to real-world scenarios andoutlines the sizing metrics and components.

Note: Detailed hardware configuration and product models can be found in theappendix.

6.1. Scenario: 400 Desktops

Table 9: Detailed Component Breakdown: 400 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 1 (partial) # of vCenter Servers 1

# of Nutanix Blocks 1 # of ESXi Hosts 4

# of RU (Nutanix) 2 # of vSphere Clusters 1

# of 10 GbE Ports 8 # of Datastore(s) 1

# of 100/1000 Ports (IPMI) 4

# of L2 Leaf Switches 2

# of L3 Spine Switches 1

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Figure 22: Rack Layout: 400 Desktops

6.2. Scenario: 800 Desktops

Table 10: Detailed Component Breakdown: 800 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 1 (partial) # of vCenter Servers 1

# of Nutanix Blocks 2 # of ESXi Hosts 8

# of RU (Nutanix) 4 # of vSphere Clusters 1

# of 10 GbE Ports 16 # of Datastore(s) 1

# of 100/1000 Ports (IPMI) 8

# of L2 Leaf Switches 2

# of L3 Spine Switches 1

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Figure 23: Rack Layout: 800 Desktops

6.3. Scenario: 1,600 Desktops

Table 11: Detailed Component Breakdown: 1,600 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 1 # of vCenter Servers 1

# of Nutanix Blocks 4 # of ESXi Hosts 16

# of RU (Nutanix) 8 # of vSphere Clusters 2

# of 10 GbE Ports 32 # of Datastore(s) 1

# of 100/1000 Ports (IPMI) 16

# of L2 Leaf Switches 2

# of L3 Spine Switches 2

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Figure 24: Rack Layout: 1,600 Desktops

6.4. Scenario: 3,200 Desktops

Table 12: Detailed Component Breakdown: 3,200 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 2 # of vCenter Servers 1

# of Nutanix Blocks 8 # of ESXi Hosts 32

# of RU (Nutanix) 16 # of vSphere Clusters 1

# of 10 GbE Ports 64 # of Datastore(s) 2

# of 100/1000 Ports (IPMI) 32

# of L2 Leaf Switches 2

# of L3 Spine Switches 2

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Figure 25: Rack Layout: 3,200 Desktops

6.5. Scenario: 6,400 Desktops

Table 13: Detailed Component Breakdown: 6,400 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 4 # of vCenter Servers 1

# of Nutanix Blocks 16 # of ESXi Hosts 64

# of RU (Nutanix) 32 # of vSphere Clusters 2

# of 10 GbE Ports 128 # of Datastore(s) 4

# of 100/1000 Ports (IPMI) 64

# of L2 Leaf Switches 4

# of L3 Spine Switches 2

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Figure 26: Rack Layout: 6,400 Desktops

6.6. Scenario: 12,800 Desktops

Table 14: Detailed Component Breakdown: 12,800 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 8 # of vCenter Servers 2

# of Nutanix Blocks 32 # of ESXi Hosts 128

# of RU (Nutanix) 64 # of vSphere Clusters 8

# of 10 GbE Ports 256 # of Datastore(s) 8

# of 100/1000 Ports (IPMI) 128

# of L2 Leaf Switches 8

# of L3 Spine Switches 2

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Figure 27: Rack Layout: 12,800 Desktops

6.7. Scenario: 25,600 Desktops

Table 15: Detailed Component Breakdown: 25,600 Desktops

Item Value Item Value

Components Infrastructure

# of Nutanix Desktop Pods 16 # of vCenter Servers 2

# of Nutanix Blocks 64 # of ESXi Hosts 256

# of RU (Nutanix) 128 # of vSphere Clusters 16

# of 10 GbE Ports 512 # of Datastore(s) 16

# of 100/1000 Ports (IPMI) 256

# of L2 Leaf Switches 14

# of L3 Spine Switches 2

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Figure 28: Rack Layout: 25,600 Desktops

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7. Validation and Benchmarking

The solution and testing provided in this document was completed with Citrix XenDesktop7.6 deployed on VMware vSphere 5.5, on the Nutanix enterprise cloud platform. We usedLogin VSI Office Worker and Knowledge Worker benchmarks to provide details for the desktopperformance for a knowledge user on the Nutanix appliance.

7.1. Environment OverviewOne node of an existing Nutanix NX-3400 hosted all infrastructure and XenDesktop services, aswell as the Login VSI test harness. The three remaining nodes in the Nutanix NX-3400 served asthe target environment and provided all desktop hosting. The Nutanix block was connected to anArista 7050S top-of-rack switch using 10 GbE.

Figure 29: Test Environment Overview

7.2. Test Environment ConfigurationAssumptions:

• Knowledge worker use case

• Per-desktop IOPS (Office Worker): 5 sustained, 70 peak (startup)

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• Per-desktop IOPS (Knowledge Worker): 10 sustained, 70 peak (startup)

• Using both MCS and PVS

Hardware:

• Storage and compute: 1 Nutanix NX-3400

• Network: Arista 7050Q (L3 spine) and 7050S (L2 leaf) series switches

Desktop configuration:

• OS: Windows 7 SP1 x86

• 2 vCPU and 2 GB memory

• 1x 35 GB OS disk

• Applications:

⁃ Microsoft Office 2013

⁃ Adobe Acrobat Reader XI

⁃ Internet Explorer

⁃ Flash Video

Login VSI:

• Login VSI 4.1 Professional

XenDesktop configuration:

• The table below shows the XenDesktop configuration used in the test environment.

Table 16: XenDesktop Configuration

VM Quantity vCPU Memory Disks

XenDesktop Controller(s) 2 4 8 1x 40 GB (OS)

PVS Server(s) 2 4 161x 40 GB (OS)

1x 250 GB (Store)

StoreFront Server(s) 2 4 4 1x 40 GB (OS)

Test image preparation: MCS

1. Create base VM.2. Install Windows 7.

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3. Install standard software.4. Optimize Windows 7.5. Add machine to domain.6. Install Citrix VDA.7. Install Login VSI components.8. Create snapshot.9. Create clones using XenDesktop Create Machine Catalog Wizard.

Test image preparation: PVS

1. Create base VM.2. Install Windows 7.3. Install standard software.4. Optimize Windows 7.5. Install PVS target device.6. Create vDisk.7. Set bios to start up from PXE.8. Remove VMDK.9. Boot VM from vDisk (private mode).10. Add machine to domain.11. Install Citrix VDA.12. Install Login VSI components.13. Create disk for write cache.14. Convert to template.15. Convert vDisk (standard mode).16. Set cache to local disk.17. Create clones using XenDesktop setup wizard.

Test execution:

1. Restart or turn on desktops.2. Restart or start Login VSI launcher(s).3. Log on to VSI Management Console.4. Set test parameters and number of sessions.5. Start test.6. Wait for test execution to finish.7. Analyze results (Login VSI).

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7.3. Login VSI BenchmarkLogin Virtual Session Indexer (Login VSI) is the de-facto industry standard benchmarking tool fortesting the performance and scalability of centralized Windows desktop environments like server-based computing (SBC) and virtual desktop infrastructures (VDI).

Login VSI is 100 percent vendor independent and is used to test virtual desktop environmentslike Citrix XenDesktop and XenApp, Microsoft VDI, and Remote Desktop Services, VMware Viewor any other Windows-based SBC or VDI solution.

Login VSI is used for testing and benchmarking by all major hardware and software vendors andis recommended by both leading IT analysts and the technical community. Login VSI is vendorindependent and works with standardized user workloads; therefore, conclusions that are basedon Login VSI test data are objective, verifiable, and replicable.

For more information about Login VSI visit http://www.loginvsi.com/.

The following table includes all four workloads available on Login VSI 4.1.

Table 17: Login VSI 4.1 Workloads

Task Worker Office Worker Knowledge Worker Power User

Light Medium Medium Heavy

1 vCPU 1 vCPU 2 vCPUs 2–4 vCPUs

2–3 apps 4–6 apps 4–7 apps 5–9 apps

No video 240p video 360p video 720p video

Login VSI Workflows

The Login VSI Workflow base layout is captured in the Login VSI 4.1 Workloads document,which also documents the changes from previous versions of Login VSI to version 4.1 in greatdetail.

Table 18: Login VSI Workload Definitions

WorkloadName

Light Medium HeavyTask

WorkerOffice

WorkerKnowledge

WorkerPower User

VSI Version 4 4 4 4.1 4.1 4.1 4.1

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WorkloadName

Light Medium HeavyTask

WorkerOffice

WorkerKnowledge

WorkerPower User

Apps Open 2 5–7 8–10 2–7 5–8 5–9 8–12

CPU Usage 66% 99% 124% 70% 82% 100% 119%

Disk Reads 52% 93% 89% 79% 90% 100% 133%

Disk Writes 65% 97% 94% 77% 101% 100% 123%

IOPS 5.2 7.4 7 6 8.1 8.5 10.8

Memory 1 GB 1 GB 1 GB 1 GB 1.5 GB 1.5 GB 2 GB

vCPU1

vCPU2 vCPU

2vCPU

1 vCPU 1 vCPU 2 vCPU 2 vCPU+

7.4. How to Interpret the Results

Login VSI

Login VSI is a test benchmark used to simulate real-world user workload on a desktop. Thesevalues represent the time it takes for an application or task to complete (for example, to launchOutlook); they do not include traditional desktop response times. These do not refer to the roundtrip time (RTT) for network I/O, but instead the total time to perform an action on the desktop.

During the test, all VMs are turned on and the workload is started on a new desktop every 30seconds until all sessions and workloads are active.

Evaluation is quantified using the following metrics:

• Minimum Response: The minimum application response time.

• Average Response: The average application response time.

• Maximum Response: The maximum application response time.

• VSI Baseline: Average application response time of the first 15 sessions.

• VSI Index Average: The VSI index average is the average response time dropping the highestand lowest 2 percent.

• VSImax: If reached, the maximum value of sessions launched before the VSI Index Averagegets above the VSI Baseline x 125 percent + 3,000 ms.

Based on user experience and industry standards, we recommend keeping ranges for thesevalues below the numbers given in the table below.

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Table 19: Login VSI Metric Values

Metric Value (ms) Rationale

Minimum Response <1,000 Acceptable ideal response time

Average Response <2,000 Acceptable average response time

Maximum Response <3,000 Acceptable peak response time

VSI Baseline <1,000 Acceptable ideal response time

VSI Index Average <2,000 Acceptable average response time

Login VSI Graphs

The Login VSI graphs show the values defined in the table above during the launching of eachdesktop session. The following figure shows an example graph of the test data. The y-axis is theresponse time in ms, and the x-axis is the number of active sessions.

Figure 30: Example Graph of Login VSI Test

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8. Results

8.1. MCS: 360 Office Worker Desktops

Login VSI Office Worker Results

During the testing with 360 desktops, VSImax was not reached with a baseline of 1,096 ms andaverage VSI index of 2,006 ms.

Figure 31: Login VSI 360 Office Worker Desktops

Cluster Metrics

The figure below shows user sessions over time, measured with Splunk and UberAgent.

Figure 32: User Sessions over Time

Average logon duration over time during the test was measured with Splunk and UberAgent. Thescale is from 0 to 20 seconds.

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Figure 33: Average Logon Duration

At the peak of the test execution, CPU utilization for the ESXi hosts peaked at 99.96 percent andmemory utilization peaked at approximately 71.28 percent:

Figure 34: Peak CPU Utilization for ESXi Hosts

Nutanix Datastore Metrics

IOPS peaked at approximately 3,458 during the high-volume startup period to refresh thedesktops; peak during the test was a little above 5,059.

Figure 35: Peak Cluster IOPS

Command latency peaked at approximately 9.91 ms during the tests:

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Figure 36: Peak Command Latency

8.2. MCS: 300 Knowledge Worker Desktops

Login VSI Knowledge Worker Results

During the testing with 300 desktops VSImax was not reached with a baseline of 979 ms and anaverage VSI index of 1,169 ms.

Figure 37: Login VSI Knowledge Worker Results

Cluster Metrics

User sessions over time measured with Splunk and UberAgent:

Figure 38: User Sessions over Time

Average logon duration over time during the test, measured with Splunk and UberAgent; thescale is from 0 to 20 seconds:

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Figure 39: Average Logon Duration over Time

At the peak of the test execution, CPU utilization for the ESXi hosts peaked at 98.2 percent andmemory utilization peaked at approximately 82.53 percent.

Figure 40: Peak CPU Utilization

Nutanix Datastore Metrics

IOPS peaked at approximately 4,788 during the high-volume startup period to refresh thedesktops; peak during the test was 4,837.

Figure 41: Peak IOPS

Command latency peaked at approximately 4.32 ms during the tests:

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Figure 42: Command Latency Peak

8.3. PVS: 360 Office Worker Desktops

Login VSI Office Worker Results

During the testing with 360 desktops, VSImax was not reached with a baseline of 1,127 ms andaverage VSI index of 1,791 ms:

Figure 43: Login VSI Office Worker Results

Cluster Metrics

User sessions over time measured with Splunk and UberAgent:

Figure 44: User Sessions over Time

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Average logon duration over time during the test, measured with Splunk and UberAgent. Thescale is from 0 to 20 seconds:

Figure 45: Average Logon Duration

At the peak of the test execution, CPU utilization for the ESXi hosts peaked at 99.36 percent andmemory utilization peaked at approximately 71.67 percent:

Figure 46: Peak CPU Utilization

Nutanix Datastore Metrics

IOPS peaked at 3,743 during the high-volume startup period to refresh the desktops; peak duringthe test was a little above 4,807:

Figure 47: IOPS Volume

Command latency peaked at approximately 10.31 ms during the tests:

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Figure 48: Command Latency Peak

8.4. PVS: 300 Knowledge Worker Desktops

Login VSI Knowledge Worker Results

During the testing with 300 desktops, VSImax was not reached with a baseline of 721 ms andaverage VSI index of 1,479 ms:

Figure 49: Knowledge Worker Results

Cluster Metrics

User sessions over time measured with Splunk and UberAgent:

Figure 50: User Sessions over Time

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Average logon duration over time during the test, measured with Splunk and UberAgent; thescale is from 0 to 20 seconds:

Figure 51: Average Logon Duration

At the peak of the test execution, CPU utilization for the ESXi hosts peaked at 99.42 percent andmemory utilization peaked at approximately 83.93 percent:

Figure 52: Peak CPU Utilization

Nutanix Datastore Metrics

IOPS peaked at approximately 5,975 during the high-volume startup period to refresh thedesktops; peak during the test was 4,542:

Figure 53: IOPS Volume

Command latency peaked at approximately 4.18 ms during the tests:

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Figure 54: Peak Command Latency

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9. Further Research

As part of its ongoing commitment to delivering the best possible solutions, Nutanix continues toconduct research in the following areas:

• Performance optimizations.

• Scale testing.

• Detailed use-case application.

• XenApp configuration and testing.

• Personal vdisk configuration and testing.

• GPU offload and peripheral testing.

• Joint solutions with partners.

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10. Conclusion

Our extensive testing of MCS and PVS deployments on Nutanix demonstrates that desktopuser density is based primarily on the available host CPU resources, not by any I/O or resourceconstraints. Login VSI Office Worker test results showed densities of more than 480 OfficeWorker desktops for each 2RU Nutanix appliance. However, most VDI deployments fit within theknowledge worker category, which was validated at over 400 desktops for each 2RU appliance.When determining the sizing for the pods, we considered both performance and additionalresources for N+1 failover capabilities.

The MCS tests showed light I/O footprints on the Nutanix platform, with a peak of approximately5,000 aggregate IOPS (during the high-volume startup periods). Sustained IOPS were light,ranging from 4,000 to 5,000. I/O latencies averaged less than 2 ms for read and less than 5 msfor write during peak load.

The PVS tests showed light I/O footprints on the Nutanix platform as well, with a peak ofapproximately 2,600 aggregate IOPS during the high-volume startup periods. Sustained IOPSwere light, ranging from 500 to 2,600. I/O latencies averaged less than 1 ms for read and lessthan 8 ms for write during peak load. PVS server CPU utilization peaked at approximately 40percent during the high-volume startup period, with an average steady state at approximately 10percent.

The Citrix XenDesktop-on-Nutanix solution provides a single, high-density platform for desktopand application delivery. This modular, pod-based approach also enables deployments to scalesimply and efficiently with zero downtime.

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Appendix

ConfigurationHardware:

• Storage and compute

⁃ Nutanix NX-3400

• Per-node specs (4 nodes per 2RU block):

⁃ CPU: 2x Intel Xeon E5-2680

⁃ Memory: 256 GB memory

• Network

⁃ Arista 7050Q: L3 spine

⁃ Arista 7050S: L2 leaf

Software:

• Nutanix

⁃ AOS 4.1.1.3

• XenDesktop

⁃ 7.6

• Provisioning Services

⁃ 7.6

• Desktop

⁃ Windows 7 SP1 x86

• Infrastructure

⁃ ESXi 5.5.2

⁃ vCenter 5.5.2

VM:

• Desktop

⁃ CPU: 2 vCPU

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⁃ Memory: 1.5 GB

• Storage

⁃ 1x 35 GB OS Disk on CTR-RF2-VM-01 DSF-backed NFS datastore

About the AuthorKees Baggerman is a solutions and performance senior consultant at Nutanix, Inc. In his role,Kees develops methods for successfully implementing applications on the Nutanix platform. Inaddition, he delivers customer projects, including defining architectural, business, and technicalrequirements, creating designs, and implementing the Nutanix solution.

Before working with Nutanix, Kees’ main areas of work were migrations and implementationsof Microsoft and Citrix infrastructures, writing functional/technical designs for Microsoftinfrastructures, Microsoft Terminal Server or Citrix (Presentation Server, XenApp, XenDesktop,and NetScaler) in combination with RES Workspace Manager and RES Automation Manager.

Kees is a Citrix Certified Integration Architect, Microsoft Certified IT Professional, RES CertifiedProfessional and RES Certified Trainer. RES Software also named him RES RSVP sixconsecutive years and Kees was honored as the RES Software Most Valuable Professionalof 2011. As a demonstration of his passion for virtualization technology, Kees earned thetitle of VMware vExpert in 2013, 2014, and 2015. Citrix also named him a Citrix TechnologyProfessional in 2015.

Follow Kees on Twitter at @kbaggerman.

About NutanixNutanix makes infrastructure invisible, elevating IT to focus on the applications and services thatpower their business. The Nutanix enterprise cloud platform leverages web-scale engineeringand consumer-grade design to natively converge compute, virtualization, and storage intoa resilient, software-defined solution with rich machine intelligence. The result is predictableperformance, cloud-like infrastructure consumption, robust security, and seamless applicationmobility for a broad range of enterprise applications. Learn more at www.nutanix.com or follow upon Twitter @nutanix.

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List of Figures

Figure 1: Nutanix Enterprise Cloud Platform.....................................................................7

Figure 2: Information Life Cycle Management.................................................................. 9

Figure 3: Overview of the Nutanix Architecture...............................................................10

Figure 4: Data Locality and Live Migration......................................................................11

Figure 5: Machine Creation Services.............................................................................. 13

Figure 6: Machine Creation Services: vDisks................................................................. 14

Figure 7: Provisioning Services.......................................................................................15

Figure 8: Provisioning Services: vDisks.......................................................................... 15

Figure 9: XenDesktop on Nutanix Conceptual Arch........................................................16

Figure 10: XenDesktop Pod Overview............................................................................ 22

Figure 11: MCS Communication..................................................................................... 25

Figure 12: MCS Pod Detail............................................................................................. 26

Figure 13: MCS I/O Overview......................................................................................... 27

Figure 14: MCS I/O Detail...............................................................................................27

Figure 15: PVS Communication...................................................................................... 28

Figure 16: PVS Pod Detail.............................................................................................. 30

Figure 17: PVS Component Mapping..............................................................................31

Figure 18: PVS I/O Overview..........................................................................................32

Figure 19: PVS I/O Detail................................................................................................32

Figure 20: Nutanix Component Architecture................................................................... 33

Figure 21: Leaf-Spine Network Architecture................................................................... 34

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Figure 22: Rack Layout: 400 Desktops...........................................................................36

Figure 23: Rack Layout: 800 Desktops...........................................................................37

Figure 24: Rack Layout: 1,600 Desktops........................................................................38

Figure 25: Rack Layout: 3,200 Desktops........................................................................39

Figure 26: Rack Layout: 6,400 Desktops........................................................................40

Figure 27: Rack Layout: 12,800 Desktops...................................................................... 41

Figure 28: Rack Layout: 25,600 Desktops...................................................................... 42

Figure 29: Test Environment Overview........................................................................... 43

Figure 30: Example Graph of Login VSI Test................................................................. 48

Figure 31: Login VSI 360 Office Worker Desktops......................................................... 49

Figure 32: User Sessions over Time...............................................................................49

Figure 33: Average Logon Duration................................................................................ 50

Figure 34: Peak CPU Utilization for ESXi Hosts.............................................................50

Figure 35: Peak Cluster IOPS.........................................................................................50

Figure 36: Peak Command Latency................................................................................51

Figure 37: Login VSI Knowledge Worker Results........................................................... 51

Figure 38: User Sessions over Time...............................................................................51

Figure 39: Average Logon Duration over Time...............................................................52

Figure 40: Peak CPU Utilization......................................................................................52

Figure 41: Peak IOPS..................................................................................................... 52

Figure 42: Command Latency Peak................................................................................53

Figure 43: Login VSI Office Worker Results................................................................... 53

Figure 44: User Sessions over Time...............................................................................53

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Figure 45: Average Logon Duration................................................................................ 54

Figure 46: Peak CPU Utilization......................................................................................54

Figure 47: IOPS Volume................................................................................................. 54

Figure 48: Command Latency Peak................................................................................55

Figure 49: Knowledge Worker Results............................................................................55

Figure 50: User Sessions over Time...............................................................................55

Figure 51: Average Logon Duration................................................................................ 56

Figure 52: Peak CPU Utilization......................................................................................56

Figure 53: IOPS Volume................................................................................................. 56

Figure 54: Peak Command Latency................................................................................57

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List of Tables

Table 1: Document Version History.................................................................................. 6

Table 2: Solution Design Decisions................................................................................ 19

Table 3: Pod Highlights................................................................................................... 21

Table 4: Desktop Scenario Definition..............................................................................23

Table 5: Desktop Scenario Sizing................................................................................... 23

Table 6: MCS Pod Detail................................................................................................ 25

Table 7: PVS Pod Detail................................................................................................. 29

Table 8: Nutanix Storage Configuration.......................................................................... 33

Table 9: Detailed Component Breakdown: 400 Desktops...............................................35

Table 10: Detailed Component Breakdown: 800 Desktops.............................................36

Table 11: Detailed Component Breakdown: 1,600 Desktops..........................................37

Table 12: Detailed Component Breakdown: 3,200 Desktops..........................................38

Table 13: Detailed Component Breakdown: 6,400 Desktops..........................................39

Table 14: Detailed Component Breakdown: 12,800 Desktops........................................40

Table 15: Detailed Component Breakdown: 25,600 Desktops........................................41

Table 16: XenDesktop Configuration...............................................................................44

Table 17: Login VSI 4.1 Workloads................................................................................ 46

Table 18: Login VSI Workload Definitions.......................................................................46

Table 19: Login VSI Metric Values..................................................................................48