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Smarter Planet Frank van der WalIT Architectthewall@nl.ibm.com
42
Organizations
Software / algorithms
Data Query #1 Query #2 Query #3 New approaches are needed...
Query Data #1 Data #2 Data #3 New approaches are needed...
Exa Peta Telco Promotions 100,000 records/sec, 6B/day 10 ms/decision 270TB for Deep Analytics Tera Giga DeepQA 100s GB for Deep Analytics  3 sec/decision Mega yr … µs mo wk day hr min sec ms Smart Traffic 250K GPS probes/sec 630K segments/sec 2 ms/decision, 4K vehicles Kilo Real-time Occasional Frequent Up to 10000 Times larger Data at Rest Data Scale Traditional Data Warehouse and Business Intelligence Data in Motion Up to 10000 times faster Decision Frequency New “Big Data” Requires New Analytics
Exa Peta Tera Giga Mega yr … µs mo wk day hr min sec ms Kilo Real-time Occasional Frequent Data Scale Decision Frequency New “Big Data” Requires New Analytics Deep Integration Fast Integration
Big Data is Too Costly to Move, so Analytics Must Stay Near Data The Transmission Gap CPU Cycle6 - 27 picocents 1 bit storage/year6 picocents 10x to 50x cheaper CPU Cycle 0.58 picocents 1 bit network transfer 800 - 6000 picocents 1 bit storage/year 5.3 - 6 picocents ~equal 100x  to 1000x more costly! Site-based Cloud-based Adapted from: RaduSion, Stony Brook University, 2009 For large enterprises and governments this implies dedicated systems,not just clouds
Infrastructure Dynamic Improve Service Reduce Cost Manage Risk
Cloud computing is not virtualization Standardizeand automate ,[object Object]
Reduce deployment cycles
Enable scalability
Flexible deliveryVirtualize ,[object Object]
Increase hardware utilization
Reduce hardware costs
Simplify deploymentsConsolidate ,[object Object]

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Cloudradar - Frank van der Wal - IBM

  • 1. Smarter Planet Frank van der WalIT Architectthewall@nl.ibm.com
  • 2.
  • 3.
  • 4.
  • 5. 42
  • 8. Data Query #1 Query #2 Query #3 New approaches are needed...
  • 9. Query Data #1 Data #2 Data #3 New approaches are needed...
  • 10. Exa Peta Telco Promotions 100,000 records/sec, 6B/day 10 ms/decision 270TB for Deep Analytics Tera Giga DeepQA 100s GB for Deep Analytics 3 sec/decision Mega yr … µs mo wk day hr min sec ms Smart Traffic 250K GPS probes/sec 630K segments/sec 2 ms/decision, 4K vehicles Kilo Real-time Occasional Frequent Up to 10000 Times larger Data at Rest Data Scale Traditional Data Warehouse and Business Intelligence Data in Motion Up to 10000 times faster Decision Frequency New “Big Data” Requires New Analytics
  • 11. Exa Peta Tera Giga Mega yr … µs mo wk day hr min sec ms Kilo Real-time Occasional Frequent Data Scale Decision Frequency New “Big Data” Requires New Analytics Deep Integration Fast Integration
  • 12. Big Data is Too Costly to Move, so Analytics Must Stay Near Data The Transmission Gap CPU Cycle6 - 27 picocents 1 bit storage/year6 picocents 10x to 50x cheaper CPU Cycle 0.58 picocents 1 bit network transfer 800 - 6000 picocents 1 bit storage/year 5.3 - 6 picocents ~equal 100x to 1000x more costly! Site-based Cloud-based Adapted from: RaduSion, Stony Brook University, 2009 For large enterprises and governments this implies dedicated systems,not just clouds
  • 13. Infrastructure Dynamic Improve Service Reduce Cost Manage Risk
  • 14.
  • 17.
  • 20.
  • 25.
  • 26. SANVolume Controller SANVolume Controller HPMA, EMAMSA, EVAXPEVA 4100, 6100, 8100 EMCCLARiiONSymmetrix SunStorageTek IBM DS DS4000DS6000DS8000 IBMESS,FAStT IBMN series NetAppFAS BullStoreWay FujitsuEternus NECiStorage HitachiLightningThunderTagmaStoreAMS, WMS SAN Volume Controller Version 4.2.1 Supported Environments Linux(Intel/Power/zLinux)RHEL/SUSERHEL 5 ia32, x64RHEL 3 PowerSLES 9 ia64 IBMBladeCenter Win/Linux/VMWare/AIXOPM/FCS/IBS IBM AIX V6HACMP 5.4/XDGPFS / VIOOracleRAC10g SunSolarisVCS/SUN clustering 1024Hosts VMware 3.0.2 Win / NW guests HP-UX 11iTru64OpenVMSServiceGuardwith SDD MicrosoftMSCSMPIO, VSS, GDS x64, ia64 Novell NetWare Clustering SGI IRIX Cisco McData Brocade New New iSCSI to hostsVia Cisco IPS SAN with 4Gbps fabric SAN Point-in-time CopyFull volume, Copy on writeMultiple targets, Incremental, Cascaded Continuous CopyMetro MirrorGlobal Mirror Up to 8PB capacity For the most current, and more detailed, information please visit ibm.com/storage/svc and click on “Interoperability”.
  • 28. Security is what you make of it, cloud or no cloud. Today’s Datacenter Tomorrow’s Public Cloud
  • 29. ISDM - Integrated Service Management for Clouds For Locating and Requesting Services Secure User Centric Self-Service Portal, Automation Engine and Catalog Managing Cloud Services Deploying Cloud Services Automated Provisioning and Image Management Monitoring and Metering
  • 30. IBM Cloud Computing Strategy Build Design Deliver Smart Expense Reporting Business Processes Smart Dev & Test Cloud Lotus Live Collaboration Development & Test Desktop & Devices Analytics Smart Analytics Cloud Desktop Cloud Infrastructure Storage Infrastructure Compute Consumers Providers Computing on Demand Smart Storage Cloud
  • 31. Wrap-up Smarter Planet Organizational changes Software / Algorithms Dynamic Infrastructure