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© 2009 IBM Corporation SYSTOR 2010 New direction or passing trend ? Behind all hype, a real opportunity ? Dilma da Silva IBM TJ Watson Research Center.

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Presentation on theme: "© 2009 IBM Corporation SYSTOR 2010 New direction or passing trend ? Behind all hype, a real opportunity ? Dilma da Silva IBM TJ Watson Research Center."— Presentation transcript:

1 © 2009 IBM Corporation SYSTOR 2010 New direction or passing trend ? Behind all hype, a real opportunity ? Dilma da Silva IBM TJ Watson Research Center Advanced Operating Systems Department dilmasilva@us.ibm.com

2 © 2009 IBM Corporation 2 A view: customers  “I barely figured out virtualization, now this” …. … but customers do come and ask for flexible, elastic deployment as a capital expense  Private and public pieces Adoption is driven by workload analysis (characterization of pain, gains)

3 © 2009 IBM Corporation 3 Business View: cloud computing is real IDC’s forecast: 44 billion market by 2013 Gartner’s: 150 billion by 2013 US government cc spending: $19 billion out of $70 bi budget private cloud

4 © 2009 IBM Corporation 4 Our speakers as panelists  GPU cloud ?  Role of “client-centric” on fault-tolerance algorithms & systems ?  Cloud & digital preservation ?  Benchmark for cloud workloads ?

5 © 2009 IBM Corporation 5 Some questions: system design new way of servicing workloads new challenges in resource management scale, power, failure, SLAs data scale, location, ownership cloud economics – mechanism design ? system management, problem determination, fault containment

6 © 2009 IBM Corporation 6 ACM SOCC’10 and HotCloud’10 Programming model & Optimization6 Performance modeling & benchmarks5 Fault tolerance4 Distributed & parallel algorithms4 Power4 Security & Privacy4 Economics3 OS & hypervisor technology2 Storage2 Clustering /availability2 Data services2 Aplications2

7 © 2009 IBM Corporation 7

8 8 Some questions  What are the essential painpoints?  Does it change your approach/assumptions for systems research?  Is system management a first-class research problem now?  Domain-specific versus general cloud services: where would you put your money?  Do we know how to approach research frameworks for cloud ? –Scale, workloads, failure patterns, dynamic evolution


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