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Federator Product Overview
Segmented Grids – Current State By Business Unit  By Application By  Process  Prime Brokerage Equities Trading Fixed Income Risk Pricing Trading Arbitrage Online Development Testing Production DR/HA
Impact of Segmented Grids Growth –  increasing workloads requires infrastructure Costs –  underutilized infrastructure drives up costs SLAs –  meeting SLAs is limited by infrastructure footprint Development Process –  dedicated test and development infrastructure is limiting Lots of Grids – Difficult to Share
Foundation of Global Grid –  All of the DataSynapse distributed engine resources can be shared between environments Broad support for  sharing resources – Across products –  FabricServer and GridServer Across versions –  GS 5.0 SP3, GS 4.2 U12, FS 2.6 Across Platforms and  Operating Systems Opens up opportunities –  helps manage growth Work that potentially was left off the grid, can now run with existing resources Improves SLA Performance – Time based allocation to ensure that critical jobs meet SLAS Federator Centralizes  Control of DataSynapse Resources
From Federated to Centralized Management  One Shared Resource Pool Federator  GridServer 4.2 (U16) FabricServer 2.5 FabricServer 3.0 GridServer 5 (SP2)
Federator 1.5 In the Cloud Grid Client Federator GridServer Manager Federator creates: Virtual Resource Manager -  basic information necessary to interact with EC2 (e.g., AWS login information) Virtual Resource Groups  - more dynamic configuration data, information specified in VRG closely tied to how customers will actually use virtual nodes  On Premise
Federator Summary Foundation of the Global Grid –  All of the DataSynapse distributed engine resources can be shared between environments Supports a broad ability to share resources – Across products - FabricServer and GridServer Across versions – GS 5.0 SP3, GS 4.2 U12, FS 2.6 Across Platforms and Operating Systems Opens up opportunities – helps manage growth Work that potentially was left off the grid, because there was no headroom, can now be slotted in with existing resources Improves SLA Performance – Time based allocation to ensure that critical jobs meet SLAS
Sharing DataSynapse Distributed Resources with Federator

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Federator

  • 2. Segmented Grids – Current State By Business Unit By Application By Process Prime Brokerage Equities Trading Fixed Income Risk Pricing Trading Arbitrage Online Development Testing Production DR/HA
  • 3. Impact of Segmented Grids Growth – increasing workloads requires infrastructure Costs – underutilized infrastructure drives up costs SLAs – meeting SLAs is limited by infrastructure footprint Development Process – dedicated test and development infrastructure is limiting Lots of Grids – Difficult to Share
  • 4. Foundation of Global Grid – All of the DataSynapse distributed engine resources can be shared between environments Broad support for sharing resources – Across products – FabricServer and GridServer Across versions – GS 5.0 SP3, GS 4.2 U12, FS 2.6 Across Platforms and Operating Systems Opens up opportunities – helps manage growth Work that potentially was left off the grid, can now run with existing resources Improves SLA Performance – Time based allocation to ensure that critical jobs meet SLAS Federator Centralizes Control of DataSynapse Resources
  • 5. From Federated to Centralized Management One Shared Resource Pool Federator GridServer 4.2 (U16) FabricServer 2.5 FabricServer 3.0 GridServer 5 (SP2)
  • 6. Federator 1.5 In the Cloud Grid Client Federator GridServer Manager Federator creates: Virtual Resource Manager - basic information necessary to interact with EC2 (e.g., AWS login information) Virtual Resource Groups - more dynamic configuration data, information specified in VRG closely tied to how customers will actually use virtual nodes On Premise
  • 7. Federator Summary Foundation of the Global Grid – All of the DataSynapse distributed engine resources can be shared between environments Supports a broad ability to share resources – Across products - FabricServer and GridServer Across versions – GS 5.0 SP3, GS 4.2 U12, FS 2.6 Across Platforms and Operating Systems Opens up opportunities – helps manage growth Work that potentially was left off the grid, because there was no headroom, can now be slotted in with existing resources Improves SLA Performance – Time based allocation to ensure that critical jobs meet SLAS
  • 8. Sharing DataSynapse Distributed Resources with Federator