making inroads to infrastructure sdn with cisco quantum wave · 2014. 4. 30. · topology (igp,...

Making Inroads to Infrastructure SDN with Cisco Quantum WAVE

Sonny Franslay Consulting SE, WAN Orchestration

2

3 © 2013-2014 Cisco and/or its affiliates. All rights reserved.

The Mission: Service Provider Business Transformation

Cost Reduction and Agility Delivers Profits

AUTOMATION, VIRTUALIZATION AND ORCHESTRATION ARE REQUIRED

Virtualized Resource Pools

(network ready compute/storage)

Virtualized Network Functions

Dynamic Set-Up, Tear Down and

Provisioning

On-Demand Workload Movement with Service Profiles

Data Center

Network Workload Portability

Orchestration

Full Access to Resource Pools

Anywhere

Cloud Services


SDN and NFV Innovations Drive Agility

Applications

CISCO OPEN NETWORK ENVIRONMENT

Ultra HD

M2M

Cloud

Mobility

Management and Orchestration

Infrastructure


SDN and NFV Innovations Drive Agility

Applications

CISCO OPEN NETWORK ENVIRONMENT

Ultra HD

M2M

Cloud

Mobility

Evolved Services Platform Policies and Automation

Evolved Programmable Network Physical and Virtual


Automating a New Class of Carrier Cloud Services

Service Catalog

Routing / VPN Mobility Video/ Content Security Virtual Private

Cloud Managed Services

Transport

Service Broker “Business Intent”

catalogs, workflows

Cross Domain Orchestration

Network Orchestration WAN Orchestration &

Optimization Open Daylight

Service Provisioning Physical & Virtual Services

Provision WAN services Provision NFV in DC

Compute & Storage Control APIC, OpenStack

Elastic Services Control Service Lifecycle management

Orchestration Engine “Execution”

configuration, automation, provisioning

End2End Service Management and SLA Guarantees

Carr

ier

Cla

ss R

eliability

and H

igh A

vailability

Evolved Services Platform (ESP)

SP WAN / VPN

Evolved Programmable Network

Physical & Virtual Network, Compute &

Storage SP Core

SP DC

Provision WAN/VPN Services & SLA

Admit Bandwidth Optimize WAN

Activate & Place Cloud/NFV services


Automating a New Class of Carrier Cloud Services

Service Catalog

Routing / VPN Mobility Video/ Content Security Virtual Private

Cloud Managed Services

Transport

Service Broker “Business Intent”

catalogs, workflows

Cross Domain Orchestration

Service Provisioning Physical & Virtual Services

Provision WAN services Provision NFV in DC

Compute & Storage Control APIC, OpenStack

Elastic Services Control Service Lifecycle management

Orchestration Engine “Execution”

configuration, automation, provisioning

End2End Service Management and SLA Guarantees

Carr

ier

Cla

ss R

eliability

and H

igh A

vailability

Evolved Services Platform (ESP)

Evolved Programmable Network

Physical & Virtual Network, Compute &

Storage SP DC

Provision WAN/VPN Services & SLA

Activate & Place Cloud/NFV services

Network Orchestration WAN Orchestration &

Optimization Open Daylight

SP WAN / VPN SP Core

Admit Bandwidth Optimize WAN

Cisco and/or its affiliates. All rights reserved. Presentation_ID Cisco Public

Cisco WAN Orchestration: MATE & Quantum WAVE

Proactively prepare your network for SDN

Visualize network topology

Simulate and correct network anomalies

Optimize network performance

Eliminate SDN migration questions

Protect your network investment


Provider Business Problems

Lower Costs and Support

Increasing Bandwidth Bring a Business Approach to the

Network • Run the network hotter

• Sweat assets more effectively

• Reduce time to turn up services

• Reclaim unused bandwidth whether for

protection or inefficiencies

• Build accurate cost models

for peering

• Cost models on a per-

customer per-service

business

• Move beyond “all you can

eat” model

• Offer innovative new ways for

customers to purchase

bandwidth

Dealing with Failures and a Changing

Demand Matrix

• No longer an option to build to 9 month forecasts

• Swing in demands can be on weekly to monthly

basis

• How to match network configuration to demands in

a more timely manner?


Control the Network • Multi-Layer Services On-Demand

• Bandwidth Calendaring

• Automate Service Delivery • Proactively Manage Service Integrity • Rapidly Address Network Failures • Analytics & Business Intelligence • Proactively Manage High Cost Assets • Application Integration for Customization

Optimize the Network • Evaluate Network Topologies

• Scenario Analysis • Reclaim Stranded Bandwidth • Traffic Balancing • Failure Analysis • RSVP, QoS and Multicast Design • Maintenance Planning

Network

Visualize the Network • Explore the Network (filter, sort, drill

down)

• Visualize Hotspots • Traffic Trending • Network Efficiency Analysis • Report and Analyze Events & Trends • Bandwidth Forecasting • Historical and Real-Time Data

MATE Live MATE Design WAN Orchestrator

Visibility Analysis Control

Journey to Evolved Programmable Networks


MATE to WAVE Transition Strategy • Build a complete and accurate visualization of WAN infrastructure

• Extract underlying information and use the intelligence gathered to analyze and form a strategy

for optimization in Design

• Extend capability to enable control for complete lifecycle of network optimisation

CLI Netflow SNMP

Network Data Collection

MATE

Visualize Design Analyze


MATE to WAVE Transition Strategy • Build a complete and accurate visualization of WAN infrastructure

• Extract underlying information and use the intelligence gathered to analyze and form a strategy

for optimization in Design

• Extend capability to enable control for complete lifecycle of network optimisation

O/F PCEP I2RS

Network Programming

CLI Netflow SNMP BGP-LS

Network Data Collection

WAVE

Visualize Control Design Analyze



down)


MATE Live

Visibility



Cisco MATE Components

MATE Design MATE Live

Simulation Optimization

Analytics Map

Design, engineer, and plan IP/MPLS networks

MATE Collector

Offline/Online Collection

Automatically discover and continuously maintain network data

Network analytics with navigation to current and historical data



MATE Live

Analytics Map

MATE Collector





Collector Automated Collection

Online (SNMP, CLI, XML, and Flow Data)

Offline (Router Configs and IGP DB)

Discovery & Statistics

Topology (IGP, LSP, VPN, Multicast)

Traffic statistics

Performance and Scalability

1000+ nodes, 1000s of interfaces in minutes

Multi-protocol

OSPFv2/v3, ISIS, BGP, IP QoS, IP MCAST, RSVP-TE, LDP, as well as Layer 2 and 3 VPNs, IPv6

Multi-vendor support

Cisco: IOS, IOS-XR

Juniper: Junos

Alcatel-Lucent: SAM

Huawei: VRP


Network Topology View


Topology Geographical View


Detailed Map View (Online map)


Auto-discovery IGP routing topology


Auto-discovery of routing topology


Auto-discovery IGP routing topology

• In addition, also discover possible ECMP based on configured IGP metric


Auto-discovery MPLS routing topology

• MPLS TE tunnels path


Discovered QoS queues


Inventory information


BGP Peering and Traffic Demand to the peer

26


MATE Live Overview

Online, web-based network analytics

application part of the MATE portfolio

Interactive access to current and

historical network infrastructure data

Use cases: troubleshooting, optimization

and planning of service providers

networks


Key Features

• Automated, in-depth network infrastructure

data collection: Interfaces, Nodes, LSPs,

Demands

• Interactive navigation and visualization

• Smart, fast and flexible reporting

• Integration with MATE Design for forecasting

• Easy to install, low maintenance


MATE Live Components

Explore Analytics Map

Operational

weathermap

Interactive network

exploration

Traffic trends, health

and ad hoc reports

Tightly coupled to expedite navigation to relevant data

Visualize, detect Navigate, troubleshoot Analyze, predict


Map

Aggregated Peering Traffic Health Current Network Issues

Link to Explore

for details

Operational Weather map

Graphs and

drill down


Explore

Visualize current network

state across interfaces,

nodes, LSP’s and demands

Quickly drill down to relevant

data using filtering, sorting and

navigation between objects

Visualize historical data with

a simple click


Analytics

Traffic trending, health,

and ad hoc reports

Interactive filtering and

sorting of results Scheduling Email alerts


MATE Live Use Cases

Ops

Peering coordinator

Planner

Manager

Ops/Engineering


Ops Detect and solve congestion issues

Detect an interface

congestion on Map

Navigate to related

LSPs currently through

that interface

Rank them by traffic to

decide which one to

reroute

1/5


Peering Coordinator Health and Peering Planning 2/5

• Monitor high level health of peering

connections across sites

• Quickly drill down to specific interface

to analyze issues

• Project individual peering interface growth

and plan which one to upgrade

• Report quarterly on per-peer P95

aggregated in, out traffic and traffic balance

and use as a basis of peering negotiations


Backbone Planner Traffic Demand Forecasting 3/5

• Generate network traffic growth reports

− Per site or site to site

− Based on interfaces, LSPs or demands traffic

• Directly import growth into MATE Design

• Run projections in MD and plan network

changes


Network Manager Traffic Growth Trending

• Monitor business health by looking at high level traffic growth

indicators

− Quarterly total network traffic & growth

− Quarterly per-market traffic & growth

4/5


Ops/Engineering Determine and Fix LSP churn

Use a health report to

determine which LSPs are

the most unstable over time

Further analyze the issue by

looking at paths used over

time and setup BW changes

Take corrective actions

(capacity upgrade, TE)

5/5



down)


MATE Live

Visibility



MATE Design

Analysis




MATE Live

Analytics Map

MATE Design

Simulation Optimization

Design, engineer, and plan IP/MPLS networks

MATE Collector





MATE Design Overview Visualization

Graphical view of link traffic utilization

Customized topology views

Traffic paths, LSP paths and shortest path

Capacity Planning

Full Traffic Matrix and Topology

Traffic Trending/Forecasting

Model Network adds/moves/changes

Optimization and Traffic Engineering

IGP and LSP metrics with detailed reports and recommendations

Network-Wide Simulation Analysis

Extensive network wide failure analysis

‘Worst Case’ analysis of Network

Maintenance Planning

Risk Analysis of planned outages, Model Node, Circuit and SRLG failovers

Snapshot from MATE Design


MATE Design Use Cases

1. Validation of design strategy

2. Network design toolbox

3. Improving capacity planning process

4. Are your network resources optimized?


1. Validation of design strategy

• MATE can help to validate if implemented network conforms to initial design, for e.g ECMP routing


1. Validation of design strategy (2)

• Identify if failover scenario as expected; in this example simulation shows that when a circuit fails, the traffic does not failover to the parallel circuit


2. Network Design Toolbox

• MATE can helps to simulate design changes and its impact, in this example a metric change helps to implement ECMP to relieve a high utilization on one interface

Reduce IGP

metric here


2. Network Design Toolbox (2)

• Adding an express route

New express

route


3. Risk Analysis: Simulated failure scenario


Capacity Planning (2) Impact of Adding a New Circuit

Observe Link Congestion

Add New Direct Circuit


Capacity Planning (3) Adding New Service/Customer to Network

Diagram 1 of 4

Network-wide evaluation of

traffic impact

MATE Design removes the

guesswork

Rapid “Turn-up” of customer

or service



Diagram 2 of 4


traffic impact


guesswork


or service



Diagram 3 of 4


traffic impact


guesswork


or service



Diagram 4 of 4


traffic impact


guesswork


or service


Capacity Planning (5) Projecting Traffic Growth

Diagram 1 of 3

Traffic forecasting

over time periods

MATE Design provides visual

diagram of each stage

Network upgrades/changes

are planned with confidence


Capacity Planning (5) Projecting Traffic Growth

Diagram 2 of 3

Traffic forecasting

over time periods

MATE Design provides visual

diagram of each stage

Network upgrades/changes

are planned with confidence


Capacity Planning (6) Modeling Capacity Build-out Step 1: Extensive ‘Worst case’

simulation analysis reveals at

risk circuits

Step 2: Model adding extra

capacity between sites

Step 3: Determine the

correct Network upgrade

required

Maximize network

performance and

cost savings

Diagram 1 of 3: ‘Worst Case’ analysis

Network View

Diagram 2 of 3: Network impact of adding

2nd cir from kyc to wdc

Diagram 3 of 3: Network impact of adding

2nd cir from nyc to wdc





down)


MATE Live MATE Design

Visibility Analysis

Control the Network • Multi-Layer Services On-Demand

• Bandwidth Calendaring

• Automate Service Delivery • Proactively Manage Service Integrity • Rapidly Address Network Failures • Analytics & Business Intelligence • Proactively Manage High Cost Assets • Application Integration for Customization

Network

WAVE

Control



Cisco MATE - Current State

Offline Collection

Archive Web Application

Web Application

Plan

Archives

Time

Series

Data-store

Time-Series

Datastore

Plan file Archives

Desktop Application


Online Collection

Predictive Model MAP EXPLORE/

ANALYTICS

Multivendor Network Devices

ALU Juniper Cisco Huawei External Systems

Flow Collection


Design, engineer and plan IP/MPLS networks

Operational Infrastructure Analytics – interactively visualize, navigate and report on near real time and historical data

SNMP and CLI

SOAP

XML SAM Flow Data

API

Statistics Router Configs

MATE Collector



Web Application

Plan

Archives

Time

Series

Data-store

Time-Series

Datastore

Plan file Archives

Desktop Application


MAP EXPLORE/

ANALYTICS

Programming Modules Collection Modules

I2RS OpenFlow OnePK

PCEP NMS/EMS NetFlow

CLI SNMP BGP-LS Configlets

Collection Drivers Programming Drivers

Predictive Model

MATE Portfolio Evolution to Cisco WAVE


ALU Juniper Cisco Huawei .........


MATE Portfolio Evolution to Cisco WAVE


Web Application

Plan

Archives

Time

Series

Data-store

Desktop Application MATE Design MATE Live

MAP EXPLORE/

ANALYTICS

Adding an API/Abstraction Layer and Other Apps

Programming Modules Collection Modules

I2RS OpenFlow OnePK PCEP NMS/EMS NetFlow CLI SNMP BGP-LS Configlets

Collection Drivers Programming Drivers

Predictive Model

Service, Network and Analytics REST APIs

WAVE Applications

Cisco Applications

Other 3rd Party Applications

PRIME

Base Client App

MATE Design

MATE Live

WAVE


ALU Juniper Cisco Huawei .........


Simple Migration from MATE to Quantum WAVE

MATE

Collector

MATE Design

Collector Plan

Module

Optimization

Prediction

Module

Analysis

Module

Deployer

Module

WAVE

Calendaring

Module

MATE

Design

MATE

Live

Other Cisco

Apps

Other Third

Party Apps SDN Apps


Smooth Migration to Cisco WAN Orchestrator Designed Specifically for Service Providers

• Simplified Migration Process

• Protects Existing MATE Investment

• Optimize Network Performance

• Only Infrastructure SDN solution with

predictive modeling

• Purpose Built Pricing Model

• Upgrade Services Available

Optical Network

Cisco WAN Orchestrator

MPLS-TE Segment Routing

OpenFlow, PCEP, BGP-FS

Topology, Stats

BGP-LS, SNMP, CLI

REST API

Abstracted Network Services

Custom

Apps

MATE

Design

MATE

Live


Quantum WAVE Components

Module Capabilities API support

Collector Topology and Traffic information collection Network Interface APIs:

Raw data on topology and traffic

Plan Current state of the network or Planned ( simulated )

state of the network

Plan APIs:

Current state or Planned state of the netw

ork

Optimization and Prediction Global and Tactical Optimization. Predictive Analysis

for what-if scenarios

TE, Multicast, SR functions

OPM APIs:

Run optimization and predictive analysis

Calendaring Bandwidth reservation to admit future demands.

Configuration scheduling

Calendaring APIs:

Reserve Bandwidth

Schedule configuration changes

Deployer Programming network devices with flexibility to suppo

rt different programming modules

Deployer APIs:

Path creation, deletion or changes

Analysis Data store for past trends and analysis Analytics Reporting APIs:

Retrieve historical trending data


WAVE API Abstractions

Other Collection/ Programming APIs

Northbound (REST) APIs Demand Engineering, Traffic Engineering, Simulation & Predicative Analytics

Interface with other collectors/controllers

Service API

WAVE Platform

Southbound APIs

Network Aware Applications

Trends and Analysis Analytics API

CLI, SNMP, Netflow, BGP-LS Device Collection API

PCEP, Confoglets onePK, OpenFlow, I2RS Device Programming API

Model API

Internal Modules Also Use APIs

Network Topology, SRLGs, Routing


Application/WAVE API Types

WAVE Platform

Network Aware Applications

Change TE parameters in the network Harvest network information, Leverage NS-OS intelligence.

Query APIs Admit APIs


Cisco WAN Orchestrator Applications

• Scheduled Application MATE Design

MATE Live

• New Applications Bandwidth Scheduling

Tunnel Manager

Tunnel Balancing

© 2013-2014 Cisco and/or its affiliates. All rights reserved.

Service Module - Bandwidth Scheduling Customer has ON-Demand Need for a DC Backup or to Move Content

VNF

DPII

Security Enterprise Service Portal

Service Broker

Catalog

Cisco Evolved Services Platform

WAVE

Mangem

ent

Cisco Evolved Programmable Network

R1

R2 Congested!!

Enterprise Data Center

Enterprise Data Center

PCEP

Enterprise Portal

Network Capacity is Analyzed Best Path Calculated

New LSP Programmed via PCEP


WAVE Use Case: Bandwidth Calendaring

70

WAVE

Program

NB API

WAN

R1

R2

R3

1

5

Data Center #1 Data Center #2

1. Network conditions reported to collector consistently

2. WAVE pulls latest Plan File every from existing MATE Collector

3. Customer App requests DC #1 – DC #2 bandwidth at Future Date

4. Demand admission response: <R1-R3, B/W, Future Date>

5. Customer App confirms booking

6. Two hours prior to activation NS-OS

places config in BTM

7. BTM programs the LSP on devices

8. LSP setup for traffic

3

4

8

PCEP

Collector

2

6

7

Customer App


WAVE Platform RESTful APIs

Programming Collection

Use-Case: TE Manager – Load Balancing Problem:

A service provider needs to efficiently use expensive resources (high cost links, perhaps transoceanic).

Solution:

The most expensive network resources are fully optimized by NS-OS assigning best load share metrics using PCEP.

① Network conditions reported to collector, accessible to App

② App determines LSP imbalance and requests WAVE to recalculate LSP load share metrics

③ WAVE computes new load share metrics

④ WAVE programs new load share metrics for LSPs using PCEP

1

2

AS Foo

WAN

R1

TE Tunnel Builder App

3

PCEP 4


Use-Case: Data Center – WAN Orchestration

Objective: Needs to dynamically turn up new services and data path for a new premium user

Solution: DC-WAN Orch ap provides higher level orchestration between DC controller and WAVE

① Network conditions reported to collector

② App requests DC resource “spin-up” of service overlay

③ At the same time, app requests corresponding WAN resource allocation

④ WAVE programs WAN path

⑤ WAVE programs classifier to map customer traffic onto WAN path

1

WAVE Platform RESTful APIs

Programming Collection

Cross-domain controller

DC Controller APIs

Premium

WAN Path R1 R2

4 5 PCEP OF OF

Customer Traffic

5

3 2

WAN


Cisco WAVE Timeline

2HCY2014

Limited Availability

1H2014

Controlled Trials

CIsco

WAVE Platform

REST API Support

BW on-demand and BW

Calendaring

Optimization and Prediction Module

support

Traffic Engineering support

Collector support with R5.6 parity

Deployer Module: PCEP Support

Calendaring Module

Cisco Applications: MATE Design,

MATE Live

Scale: 80 Nodes, 200 Tunnels

Target Features

PCEP Enhanements for MD5

Autn., LSP Delegation

Deployer Module: Configlet

support

OPM: Segment Routing support

Plan Module: Plan API Support

L1 Collection on Cisco Devices

Multi-Compute node support

Demo App: Tunnel Balancer

Scale: 1200 Nodes, 32000

Tunnels

CY2015

General Availability

Analytics Module: Reporting API

Tunnel Manager Applications:

Disjoint Paths, Co-ordinated

Maintenance, Auto-Bandwidth

Support, BW Calendaring, Multi-

layer Optimization

Performance and Scale

Enhancements

Multi-layer support introduction

Visit the Demo Booth at Service Provider Area

making inroads to infrastructure sdn with cisco quantum wave · 2014. 4. 30. · topology (igp,...

Documents