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Open Cloud ComputingA Case for HPCCRO NGI DayZagreb, Oct, 26th
Philippe TrautmannHPC Business Development ManagerGlobal Education @ ResearchSun Microsystems, Inc.
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Agenda
• The Cloud• HPC and Cloud: any needs?• Cloud Computing from Sun• Getting Started
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The Cloud
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● The illusion of infinite computing resources
● The elimination of an up-front commitment
● Pay for use of computing resources
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What Does Cloud Mean? “ A fundamental shift in the computing paradigm”
- Steve Ballmer, CEO Microsoft“The return of the mainframe, and the mainframe is a set of computers. You never visit them, you never see them. But they're out there.”
- Eric Schmidt, CEO Google“It's nothing more than a faddish term for the established concept of computers linked by networks. A cloud is water vapour”
- Larry Ellison, CEO Oracle“You build your app, and you inherit our architecture”
- Marc Benioff, CEO SalesForce.com
“The Truth Is Rarely Pure And Never Simple”-Oscar Wilde
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Public
Business ModelsPrivate Hybrid
You don’t know who else is on the
same server, network or disk
that you are
You own the server, network and disk, and decide who
gets to run on it with you
You own some parts and are sharing some
parts, though in a controlled way
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Application Domains
Domains Drive Differencesin Hardware and Software Architecture
HPC
IntelligenceMedical
AnalyticsFinance
Web
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Faster time-to-marketReduction of custom softwarePay only for what you useGrow infrastructure with business
Cloud Computing Layers
Applications offered on-demand overthe network (salesforce.com)
Basic storage and compute capabilities offered as a service (Amazon web services)
Developer platform with built-in services (Google App Engine)
Infrastructure as a Service
Platform as a Service
Software as a Service
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HPC market requirements
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HPC Market Overview
Server Revenue by IDC Competitive Segments
Segment Price RangeSupercomputer $500K and up $2.58 3.20% 1.50%Division $250K - $500K $1.30 1.60% -0.70%Department $100k - $250K $3.62 7.10% -0.04%Workgroup <100K $1.73 1.90% -0.06%
2009TAM $B
CAGR (07 – 13)
DOWN SIDECAGR
HPIBMDellOtherSun
HP
IBM
DELL
Other
SUN
IDC Server Revenue by Vendor 2008
IDC Estimates that for every $ spent on Servers● An additional $.39 is spent on storage● An additional $.25 is spent on services
IDC HPC Application/Industry ForecastServers Storage
Application Segment 2009 ($K) 2013 ($K) 2009 ($K)University Academic $1,800,235 $2,337,419 6.75% $571,344 16.27%Govt. Lab $1,425,431 $1,863,896 6.93% $433,087 12.33%Bio Sciences $1,217,297 $1,781,031 9.98% $652,271 18.57%CAE $952,761 $1,562,311 13.16% $455,087 12.96%Defense $871,585 $1,186,212 8.01% $414,288 11.80%EDA $613,729 $948,920 11.51% $173,687 4.94%DCC & Distribution $576,228 $835,046 9.72% $269,913 7.68%Geosciences & Geo Engineering $529,772 $807,039 11.10% $222,042 6.32%Weather $371,260 $545,329 10.09% $119,956 3.42%Economics /Financial $261,750 $421,115 12.62% $64,663 1.84%Chemical Engineering $223,468 $260,900 3.95% $88,262 2.51%Other $182,756 $140,644 -6.34% $20,227 0.58%Mechanical Design & Drafting $106,400 $98,205 -1.98% $27,568 0.78%Total Revenue $9,132,672 $12,788,067 4.10% $3,512,395 100.00%
CAGR (07-13) % of Mkt
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The Importance of HPC
• Reduce costs and increase efficiency• Improve quality and be first to market• Make better and faster decisions• Applications becoming increasingly computationally intensive• Required to run more and more of these applications• Need to analyze more and more data
HPC can solve these problems and is now a required technology to stay competitive
Organizations are Under Pressure
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• The “P” in HPC• Technical limitations – system, storage, interconnect,
complexity• Exploding Data Requirements
• Increasing fidelity of modeling and simulation• Instruments that spit out PetaBytes of Data• Requirement for collaborative research
• Complexity of Use• Need reliable solutions that are easy to architect, deploy and
use• Space, power and cooling issues
Limiting factors
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Time toLoad Data
Time to Compute
Time toStoreData
2009 2011
You can only compute as fast as you can move the data
ExponentialData Growth
Time toLoad Data
Time toStoreData
Timeto
Compute
Barriers to HPC: Data Access
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Barriers to HPC:I/O Bottlenecks – Application Enemy #1• Prevents applications from scaling• Leads to poor overall application performance• Complex – CPU? Memory? Storage?
Interconnect? Application?• Removing I/O Bottlenecks requires an end-to-
end approach
• Is there a catch for Cloud computing here?
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IDC: Cloud costs vs.DataCenter
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£0.00
£5,000,000.00
£10,000,000.00
£15,000,000.00
£20,000,000.00
£25,000,000.00
£30,000,000.00
Startup
cost
Year1
Year2
Year3
Year4
Year5
Year6
Year7
Year8
Year9
Year10
Data CentreCloud
In H2 2009, IDC analyzed the costs of running 100% of a typicallarge businesses IT infrastructure in a DC versus the cloud:
After year 3,cloud costs exceeded the DC
Final ScoreDC: £15MCloud: £26M
Even with 3 yearrefresh cycles of 30%,DC remains much cheaper
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The Real Problems On The Horizon That Will Make Or Break Cloud Services
Standards Common standards on development, deployment, and
migration/transition Ability for businesses to move a system from one cloud to another
– No Lock In
Differentiation Different providers with different value propositions – Big vendors,
Telcos, Hosting Providers…. Specialization and the emergence of best of breed providers in
specific areas
Competition Price competition and eco system competition No one dominant winner
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Cloud Computing From Sun
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Cloud Architecture
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Sun’s StrategyDevelop the core technologies for Sun's Open Cloud Platform
Offer Services through Sun's public cloud service – the Sun Cloud
Work with service providers andenterprises to build their own clouds
Develop open standards
Build partnerships and communities
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Cloud Architecture – Future
Partner and Build
User Apps and ServicesInternet Accessible APIs and UIs
Servers Storage Network
Virtualized Datacenter Management Layer
Customer Web Site
StorageService
QueuingService
JavaEEService etc.
Application Catalog,Forums, DocsVirtual Datacenter
Management Console
Accounting, Billing and Metering
Identity Service
DatabaseService
ComputeService
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Building Robust Sun Cloud Ecosystem
Sun Cloud
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Initial Public Cloud Roadmap
Internal AlphaStorage
Compute
Early AccessStorage
Compute
Update 1Storage, Compute
Adds Identity, Queuing, Database services
Q1 2009
H2 2009
Q2 2009Sun Open Cloud
PlatformWork with Customers on
Product Version of Software in Public Cloud
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Getting Started
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Adopt Models & Standards
=
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Focu
s H
ere
Faster, Better, Cheaper, Reduced Scope, or Someone Else's Problem?
Prepare your IT Service Management
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Consider Adoption StrategiesTest and
Development
Functional Offload (Batch Processes –
TimesMachine)
Functional Offload (Storage – SmugMug)
Augmentation(Temporary Load – Animoto)
Web Service
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Profile Applications & Workloads
Suitable for cloud• Time based• Very parallel (i.e. batch)• Spiky traffic• Capital intensive
(especially startup)• Proof of Concept• Low utilization• Less deployment costs• High bandwidth costs /
high real estate
Not suitable for cloud• Vertically scaled applications• Consistent load levels• Latency sensitive
applications• Insecure applications• Hardware device dependent
(e.g. fax server, SNA gateway)
• ISV unsupported• Per CPU licensed
applications
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• Participate in the Development of our Open Cloud APIs
• Sign up for Early Access to Sun Cloud Services
• Become a Sun Cloud Partner• Let Sun experts help you take
advantage of Cloud Computing
http://sun.com/cloud
Getting Started Today
