imcsummit 2015 - day 2 keynote - in-memory computing and the emergence of tier -1 storage

© 2013 Evaluator Group, Inc.

In-‐Memory Compu.ng and the Emergence of Tier -‐1 Storage

John Webster Senior Partner [email protected]

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Overview of Evaluator Group ! Since 1997 delivering comprehensive and objecHve analysis of

storage systems and related issues —  A team of engineers, systems performance experts and go-‐to-‐market

specialists

—  Expert analysis with detailed informaHon and unbiased opinions

! PracHcal, business-‐oriented, technical perspecHves

Slide 2


Research Coverage

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InformaHon Management & Data Storage

Virtualiza.on

Data Analy.cs

Performance

Solid State Hyper-‐

Converged Cloud

Services & Object

SDS & Virtualiza.on

Data Protec.on &

Archive


A Few of Our Customers

Slide 4


What’s the Point? !  A new scalable, very high performance, low cost Her is

persistent storage is emerging (Tier -‐1). !  AdopHon will be accelerated by rapid advances in price for

performance and capacity. !  It will, converged with other technologies, enable broad

adopHon of real Hme analyHcs. !  Market potenHal for real Hme analyHcs—and real Hme

compuHng in general—already exists (and has existed for years).

!  At present, the possibiliHes can only be parHally imaged.

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What is Tier -1?

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SSD (Tier 0)

High-Performance Disks (Tier 1)

High-Capacity Disks (Tier 2)

External Tier 3

Tape Optical

Dat

a M

ovem

ent

Storage System Tiering “Within the Box” and External

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Response Time µs ms ms seconds

SSD = Solid State Device


Persistent In-Memory SSD

High-Capacity Disks

Tier -1 Data Persistence In-Memory

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Persistent In-Memory SSD

Capacity SSD .....

_

SSD = Solid State Device


What Does the Future for SSD Look Like?

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Why Enterprise IT Likes SSD

!  Elongate tech refresh cycles !  Increased efficiency/reduced cost of virtualized servers

!  DeduplicaHon yields gains in price/GB vs. disk !  Lower Opex for machine room environmentals !  ApplicaHon performance (turn muts into show dogs)

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Why Business Likes SSD

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Multiple SSD Technologies Advancing in Parallel

Non-‐volaHle memory (NVM) technologies under current development

!  NAND flash !  MRAM !  Memristor !  ResisHve RAM !  PCM !  Nano

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Cost of Disk vs Flash

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Moore’s Law for DRAM

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NVMe Performance

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Bottom Line

Increasing demand + increasing compe..on + increasing produc.on for SSD

= Con.nual improvements in SSD price for performance and scale

= Con.nued cost reduc.ons and performance enhancements for In-‐

Memory Compu.ng =

Accelera.ng advancements in real .me compu.ng

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Where is the Demand for Real Time Computing?

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Enabling Converged, Real-time Analytics

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The confluence of two major compuHng trajectories: !  ConHnued improvements in

memory technology that began with the first digital computers

!  Advancement of MPP compuHng that began in the early 1980's


Visions of Real Time Analytics in 2004

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!  AnalyHc-‐based applicaHons based on convergence of mulHple data sources-‐potenHally in real Hme

!  Interviewed 50 CEOs, CIOs and Technologists from verHcal industry segments

!  Visions were of leveraging disparate and pervasive data sources (mobile, sensor, database) in real Hme.


CEO Real Time Visions 2004

!  RFID converged with paHent data in to prevent accidentally inducing adverse reacHons to drugs in a hospital sejng

!  MulHple sensory data inputs to monitor and control chemical leaks in chemical producHon

!  In-‐store shoe manufacturing !  …. and more

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Great Visions in 2004, but… !  Data Warehousing systems built around transacHonal,

structured data !  Reports made available to business decision makers days to

weeks aler data creaHon !  No ability to converge mulHple data sources !  No ability to leverage unstructured data !  Real Hme? Are you kidding?

CEOs were incapable of turning their visions into reality

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The Point?

For years there has been demand for analyHcs systems that can converge mulHple data sources and deliver results in real Hme to:

!  Business decision makers !  Healthcare and Public sector !  … and Consumers

Now we have the systems

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What are the Possibilities?

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What if You Could Combine…? !  RoboHcs !  Electronic sensors and sensory data (like IoT) !  Bluetooth communicaHons (mobility) !  Centralized, real Hme analyHcs !  Automated programming !  ConsumerizaHon !  Open source

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Mobotics

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•  RoboHcs •  Electronic sensors and sensory

data (like IoT) •  Bluetooth communicaHons

(mobility) •  Centralized, real Hme analyHcs •  Automated programming •  ConsumerizaHon •  Open source

MeaowMeaow The first open-source web-programmable device and robotics platform.

Designed to be used by common web-site programmers, allowing device logic to be updated constantly, by simple programs/web-pages that connect to all other internet data sources and technologies.

Chris Stakutis chris.stakutis@

ConcordSoftwareAndExecutiveConsulting.com 978 764 3488


The Point !  A new scalable, very high performance, low cost Her is

persistent storage is emerging (Tier -‐1). !  AdopHon will be accelerated by rapid advances in price for

performance and capacity. !  It will, converged with other technologies, enable broad

adopHon of real Hme analyHcs. !  Market potenHal for real Hme analyHcs—and real Hme

compuHng in general—already exists (and has existed for years).

!  At present, the possibiliHes can only be parHally imaged.

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Does In-‐Memory CompuHng change everything? If so, then this summit marks the beginning of a new era in compuHng and I hope to see you at the next one.

imcsummit 2015 - day 2 keynote - in-memory computing and the emergence of tier -1 storage

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