OpenStack in Action 4! Jean-Louis Lezaun - Re-architecturing the datacenter : Cloud, RSA & Big Data

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Paris, 5th December 2013 : OpenStack in Action 4! organized by eNovance, brings together members of the OpenStack community.

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OpenStack in Action 4! Jean-Louis Lezaun - Re-architecturing the datacenter : Cloud, RSA & Big Data

  1. 1. What  future   for  the   Datacenter Jean-Louis Lezaun WEUR Cloud Service Provider Business Manager October 10, 2013
  2. 2. Virtuous Cycle of Computing … and so on DEVICES SERVICES DATACENTER DEVICES Other brands and names are the property of their respective owners.
  3. 3. Workload Optimized Technologies Composable Resources Software Defined Infrastructure
  4. 4. Workload optimized technologies Network Storage Servers CPU & Memory Intensive CPU Intensive Frequent Enterprise Applications Graphics Rendering High Performance Computing Hot Content Delivery and Gaming Routing Warm Access E- Commerce Big Data Dedicated Hosting SMB Security Appliance Cold Branch Office Router Infrequent I/O Intensive CUSTOMIZED SILICON Enterprise Security & $ Cost of storage $$$$ ACCELERATORS Media Processing Wireless Base Station I/O Intensive EXTREME LOW POWER Wireless Core
  5. 5. Composable resources Today Next Future Open Network Platform Physical Aggregation Fully Modular Resources Fabric Integration Storage-PCIe-SSD & Caching Photonics & Switch Fabric IO   Compute   Memory   Intel® Atom™ & Xeon CPU / Mem Modules Shared Power Shared Cooling Rack Management Rack Fabric Optical Interconnects Modular refresh Storage   Pooled compute Pooled storage Pooled memory Shared boot
  6. 6. Software Defined Infrastructure SDN Controller Building blocks for Open Networking Programmable platform Enable SDN with Open APIs App App App Open Network Platform Software Intel® Architecture Intel Communications Intel NIC Chipset Switch Silicon switch Intel Product Wind River Product 3rd Party
  7. 7. Big Data era Collect Information With IDH, sort 1TB of Data, takes Instead of Prescribe Knowledge Intel® Distribution for Apache Hadoop* 7 MINUTES Analyze Data 4 Hours Storage Analytics
  8. 8. From Data to knowledge Technology & content Three dimensions of Data : -  Business -  Science -  Technical Data Storage Collect/Investigate External Data Internal Data Information value proposition Knowledge Information Analytics Statistics Semantics Linguistics Analyze/Describe By lob -  Automotive -  Retail -  Energy -  FSI -  Etc. Specialist CDO / CMO Internal External Prescribe/Predict

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