MRI Energy-Efficient Cloud Computing

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MRI Energy-Efficient Cloud Computing

  1. 1. Energy-Efficient Cloud ComputingWalking towards a more energy-efficient computing world.Roger Rafanell18/6/2012MRI
  2. 2. OutlineEnergy-Efficient Cloud Computing Part 1: Introduction Part 2: Current state of Energy-Efficiency Part 3: Towards Energy-Efficient Cloud Computing Part 4: Conclusions
  3. 3. Introduction Data centre Costs by Amazon.com “Data centre expenses related cost of operation theservers becomes the 57% of total budget while energy- related costs amount to 31%.”
  4. 4. IntroductionWhere does the energy goes?
  5. 5. OutlineEnergy-Efficient Cloud Computing Part 1: Introduction Part 2: Current state of Energy-Efficiency Part 3: Towards Energy-Efficient Cloud Computing Part 4: Conclusions
  6. 6. Current StateData centre power distribution
  7. 7. Current StateResearch community propose solutions for optimize each part of chain.
  8. 8. Current StateHow DC can cut energy consumptions? • Energy-efficient opportunities for power consumption: – Energy-efficient hardware – Power minimization in Cluster & Networks – Distributed Energy-Efficient Schedulers (DEES) • Cooling consumptions can be cut by: – Better air management – Move to liquid cooling – Use of free cooling (Green)!
  9. 9. Current StateEnergy-efficient hardware • Processors Dynamic Speed & Voltage Scaling: – SpeedStep (Intel) – PowerNow (AMD) – Cool’nQuiet (Dynamic fan speed) • Advanced Configuration and Power Interface (ACPI) • Other efficient emerging solutions: – Solid State Disks – Hibernation of hardware components
  10. 10. Current StatePower minimization on Clusters & Networks “Components such as disks, memory or network devices also use energy when server is idle, still using up to 60% of its peak power.” “According to some estimates, Internet may consume more than 860 TWh annually.” How can be mitigated?
  11. 11. Current StatePower minimization on Clusters & Networks • Clusters – Develop energy & economic criteria to dispatch jobs. – Set part of servers down or to a low-power state. – Use dynamic provisioning algorithms to obtain the minimum number of servers required respecting SLAs. • Networks (seriously considered since recently) – Energy-saving routing protocols for wireless networks. – Research on topology control (real-time network graph modification). – On-going development of new energy-efficient Ethernet standard (IEEE 802.3az).
  12. 12. OutlineEnergy-Efficient Cloud Computing Part 1: Introduction Part 2: Current state of Energy-Efficiency Part 3: Towards Energy-Efficient Cloud Computing Part 4: Conclusions
  13. 13. Efficient Cloud ComputingEnergy-aware Clouds • Currently based on: – Virtualization – Consolidation – Improvement on Cooling – Energy-awared software: Cloud applications, Cloud programming models, etc…
  14. 14. Efficient Cloud ComputingVirtualization • Allows partition computational resources and share the hardware: – Many services often needs only small fraction of computational resource. – Low server utilization consumes non-less than 60% of peak power. – This services can be virtualized running on a virtual machine. – Virtual machines can be: created, terminated, cloned or moved from host to host.
  15. 15. Efficient Cloud ComputingConsolidation techniques • Resource optimization: – Many virtual machines can run on a single hardware unit (consolidation). – Live-Migration: VM host-to-host migration while running in nanoseconds. – Reduction on cooling due distributing properly the VMs over physical resources avoiding thermal hotspots.
  16. 16. Efficient Cloud ComputingConsolidation techniques
  17. 17. Efficient Cloud ComputingCooling Improvements • Thermal considerations: – Of data centre interior structure (ceiling, walls, floor, …) – For consolidation and virtualization purposes. – For interference effects on neighbouring computing nodes. – For correlate the temperature rise, load and power consumption.
  18. 18. Conclusions The IT business future is going to Energy-awared Data centers and Green Computing. Nowadays, one can leverage a lot of available energy- awared technologies and techniques at different levels. Researchers comunity is currently starting to tackle energy- efficiency problems. Savings on Green House Gas and CO2 emissions!!!
  19. 19. Doubts? rogerrafanell@gmail.com

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