Greg Boss Ibm Cloud Computing June 2008


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Greg Boss of IBM on Cloud Computing

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Greg Boss Ibm Cloud Computing June 2008

  1. 1. IBM Cloud Computing June 2008 Jose Vargas, Mgr High Performance On Demand Solutions IBM Corp. San Jose, CA
  2. 2. High Performance On Demand Solutions (HiPODS) • Deploy deep skills • Lead in best Internet Scale practices Customer Computing Customer Collaboration Innovation Success • Create strategic Enablement assets • Accelerate emerging technologies UK Hursley China Korea Ireland Beijing Seoul Dublin Yamato US Japan Silicon Valley China India Wuxi Brazil Bangalore São Paulo Hanoi Vietnam South Africa Johannesburg 2
  3. 3. Accelerating Innovation Leverage the powerful combination of Web 2.0 collaboration and a virtualized, dynamic, secure cloud computing environment to drive business transformation Ideas Creation Ideas Collaboration Ideas Trials Expand sources of Speed time to market Lower barriers to innovation for new offerings IT 3
  4. 4. Cloud Computing – New Computing Paradigm Driven by • Technology advances that support massive scalability & accessibility • Emergence of data intensive applications & new types of workloads Large scale information processing, i.e. parallel computing using Hadoop Web 2.0 rich media interactions Light weight run anywhere web apps Skyrocketing costs of power, space, Explosion of data intensive maintenance, etc. applications on the Internet Advances in multi-core computer architecture Fast growth of connected mobile devices Growth of Web 2.0- enabled PCs, TVs, etc. 4
  5. 5. Industry Trends Leading to Cloud Computing A “cloud” is an IT service delivered to users that has: • A user interface that makes the infrastructure underlying the service transparent to the user • Near-zero incremental management costs when additional IT resources are added • A service management platform 2008 2000 Cloud Computing 1990 Software as a Service 1980 • Next-Generation Utility Computing • Network-based Internet computing Grid Computing • Offering computing subscriptions to • Solving large applications • Next-Generation resources as a problems with Data Centers metered service parallel computing • Gained momentum • Introduced in late in 2001 • Made mainstream by 1990s Globus Alliance 5
  6. 6. Some Characteristics of Cloud Computing • Virtual – Physical location and underlying infrastructure details are transparent to users • Scalable – Able to break complex workloads into pieces to be served across an incrementally expandable infrastructure • Efficient – Services Oriented Architecture for dynamic provisioning of shared compute resources • Flexible – Can serve a variety of workload types – both consumer and commercial 6
  7. 7. IBM Cloud Computing Gaining Momentum May 2008 April 2008 March 2008 PACES on cloud February 2008 announced at IMPACT VIP/SSME in production on Cloud 2007 Wuxi China Cloud Computing Center First Cloud Computing Sogeti Online Idea Brainstorm a “terrific Wuxi in production Center in Europe success” out of Dublin Academic Initiative Cloud Joint research initiative with 13 European partners Cloud for iDataPlex announced at Web 2.0 Blue Cloud expo Partner to enhance Vietnam Innovation academic research Portal opportunities 7
  8. 8. Dynamic Enterprise Data Center - Enabling IBM Innovators Around the Globe Since 2006 Innovation Portal Dynamic Monitoring Scheduling • Innovators use Web 2.0 portal to request resources, which can be fulfilled in 30 minutes • Early user community provides immediate Cloud Services feedback • Fosters ecosystem of incubated innovations that Innovation Innovation Innovation can be composed to form new applications A B C • Currently: 101,000 users, 65 active incubations, 35 graduated projects Workloads Benefits Virtual Virtual • Rapid global collaboration on new technologies Virtual Application Application Application Server Server • Projects can start immediately – “priceless” Server; • Lowers costs – hardware 4:1, administration 7:1 Virtualization Physical Hardware 8
  9. 9. IBM Research Computing Cloud (RC2) – A living lab to advance Research strategies • Provides self service ‘on demand’ delivery solution for research computing resources RC2 • Integrates existing assets and products with Self - Service SOA Portal • Zero touch support for the full life cycle of Business Process Workflow Application service delivery Business Process – Order creation Workflow Management – Approval process – E-mail notification Business Service Platform – Automated provisioning – Monitoring Enterprise Service Bus Virtualized Infrastructure 9
  10. 10. Dynamic Enterprise Data Center – Enabling Virtual Classrooms Dynamic Scheduling Monitoring Cloud Services Google/IBM Academic Initiative Carnegie University of • Promote open standards & Hadoop parallel MIT Mellon Washington computing model • Jointly provide compute platform of the future Workloads Benefits Virtual Virtual Virtual • Trains students with next generation Application Application Application Server Server Server; computing skills • Optimizes emerging Internet scale workloads such as search, video, audio, 3D Internet, Virtualization machine learning, mobile computing Physical Hardware 10
  11. 11. Academic Initiative University Participants • From Fall 2007 – 2008, over 10 classes taught between 6 universities • Over 500 students trained on next generation parallel computing techniques Projects • Inverted Index • PageRank on Wikipedia • Clustering NetFlix Movie Data • Language Modeling in the Clouds • Large-data Statistical Machine Translation • Collective Resolution of Identity in Email Archives • Parallel Automatic Text-Background Separation in Picture Books • Large-Scale Network Analysis to Improve Retrieval in the Biomedical Domain Students and professors are saying: •“Very cool” •“Job that takes a week now only takes hours” •“Closes the gap between how industry and academia think about computing” 11
  12. 12. NSF Cluster Exploratory Program 12
  13. 13. Dynamic Enterprise Data Center – Hosting Software Development Dynamic Scheduling Monitoring China Cloud Computing Center Cloud Services • Dynamic Enterprise Data Center built by IBM for Securely isolated development municipal government of Wuxi, China and test environments • Eleven parks to be created across China for Company Company Company software development A B C • Accelerates transformation to a service-led economy Workloads Benefits Virtual • Fast deployment of Rational software development Virtual Virtual Application Application Application Server environments Server Server; • Up to 200K software developers, 100 companies • Cost efficient shared infrastructure Virtualization Physical Hardware 13
  14. 14. IBM Cloud Computing Center Demo 14
  15. 15. Functional Overview The Cloud Computing Center enables users to easily obtain development environments & create innovative software solutions. • Manages available shared virtual resources as a ‘cloud’ – System x virtualization via Xen – System p Virtualization via hypervisor • Web-interface – Users request computing resource – Administrators to manage ‘projects’ which are collections of virtual machine (could be mixed Xen and p) – Handles resource scheduling & reservations • Supports multiple Projects/Customers/Users – Approval/rejection of requests based on roles – Management of customers/users possible via Cloud UI 15
  16. 16. Functional Overview - continued • Integrated monitoring of deployed VMs – Web interface provides monitoring alerts based on thresholds – Tivoli Enterprise Console (TEC) • Network isolation between customers via “Trunked” VLANs • Ability to request OS image and additional software – Linux Redhat V5.1 – WebSphere Application Server Network Deployment V6.1 – DB2 Enterprise Server Edition V9.1 – Rational Tooling (ClearCase, ClearQuest, Functional Tester, Performance Tester PurifyPlus, RSA) – Tivoli Composite Application Manager for WebSphere • Ability to modify request projects – extend dates, add/remove servers 16
  17. 17. Basic Cloud Computing Architecture Virtual Virtual Virtual Virtual Machine Machine Machine Machine ITM Agent ITM Agent ITM Agent ITM Agent Middleware Middleware Middleware Middleware Linux RedHat Virtualized Infrastructure Virtualization: all physical machines Data Center act as virtual machine hosts; all Provisioning Baremetal & Xen VMs workloads run on virtual machines Monitoring Provisioning: dispense preloaded DB2 virtual machines in minutes IBM Provisioning WebSphere Monitoring v.6 Manager v.5.1 Application Server Monitoring: ensure systems that go down are recycled quickly Provisioning Management Stack 17
  18. 18. Management and customer environments Cloud Management Rational License Mgr Tivoli Provisioning Mgr Servers NFS Server IBM Tivoli Monitoring LDAP Server Customer X Rational ClearQuest Customer C Rational Tivoli Composite Rational ClearCase DB2 Customer B Performance Tester Application Mgr Rational ClearQuest A Customer Rational Tivoli Composite Rational ClearCase for Developers Servers Testers Rational ClearQuest Servers forRational Tester DB2 Performance Development/Test Servers Tivoli Composite Application Mgr Rational ClearCase Rational ClearQuest DB2 Rational Performance Tester Tivoli Composite Application Mgr Rational ClearCase Software Architect Rational Customer Application Rational Functional Tester Development/Test Servers Servers for Developers DB2 Performance Tester Servers for Testers Application Mgr Servers for RationalSoftware Architect Rational Purify Plus Developers Development/Test Servers Application Servers forRational Functional Tester ClearCase Remote Client Testers Customer WebSphere, DB2 Rational Rational Software Architect Rational Client Customer Application ClearCase Functional Tester Servers for Developers Software Architect for Testers Tester Rational Purify Plus Servers FunctionalRational RemoteDevelopment/Test Servers Customer Application WebSphere, DB2 Rational Software Architect SoftwareRational Functional Tester Functional Customer Application Rational PurifyRational Purify PlusClearCase Functional Tester Rational Rational Software Architect Plus Architect Rational Customer Application Tester Rational Remote Client Remote Client WebSphere, DB2 ClearCase Customer Application WebSphere, DB2 Rational Software ArchitectRational Purify PlusClearCase Functional Tester Rational Software Architect Rational Functional Remote Client Remote Client WebSphere, WebSphere, DB2 ClearCase Rational Software Architect Rational Plus Rational PurifyPurify Plus Rational Tester Rational Remote Client ClearCase Functional Tester Customer ApplicationApplication Customer Application Customer DB2 WebSphere, DB2 Rational Software Architect ClearCase Functional Remote Client Rational Software ArchitectPlus Rational Plus Plus Rational Software Rational Remote Client Rational Tester ClearCase Functional Tester Rational Remote Client Customer ApplicationApplication Customer Application Rational PurifyPurifyPurify Architect Rational ClearCase Functional Tester WebSphere, DB2 DB2 DB2 Customer WebSphere, WebSphere, Rational Software ArchitectPlus Rational Plus Plus Rational PurifyPurifyPurify Rational Software Architect Rational Rational Functional Tester ClearCase ClearCase Remote Client Remote ClientClient ClearCase Functional Tester Rational Remote CustomerWebSphere, DB2 Application Customer Application WebSphere, DB2 DB2 WebSphere, Rational Software Architect Rational PurifyPurify Plus Rational Plus Rational Remote ClientClient ClearCase Functional Tester ClearCase Remote Customer Application WebSphere, DB2 DB2 WebSphere, Rational Purify Plus ClearCase Remote Client WebSphere, DB2 18
  19. 19. Worldwide Centers to Serve Clients Dublin, Ireland Seattle, WA Seoul, S Korea Beijing, China Tokyo, Japan San Jose, CA US, East Coast Middle East Hanoi, Vietnam Bangalore, India Singapore São Paulo, Brazil South Africa Announced Planned 19
  20. 20. IBM Leadership in Dynamic Enterprise Data Centers • Converging Web-centric clouds and enterprise data centers • Establishing worldwide cloud computing centers to drive adoption • IBM leads the way in bringing cloud computing benefits to enterprises For more information, please visit: 20