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GREEN CLOUD COMPUTING-A Data Center Approach

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GREEN CLOUD COMPUTING-A Data Center Approach

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GREEN CLOUD COMPUTING-A Data Center Approach

  1. 1. GREEN CLOUD COMPUTING -A Data Center Approach Sukhpal Singh Gill PhD Research Scholar Thapar University, Patiala 1
  2. 2.  Basics of Green & Cloud Computing  Green Cloud Computing-A Data Center Perspective  Green Cloud Computing in Developing Regions  Balancing Energy in Data Centers  Energy Aware Data Center Management  Power Usage Effectiveness  Case Studies :- Senegal & South Africa  Indian Scenario  Go Green  References E-Journey 2
  3. 3. Green Computing  Study and Practice of designing, manufacturing, using and disposing computing resources with minimal environmental damage  Energy Star, OECD  Product Longevity- Carbon Footprint  Steps : - 1. Algorithmic Efficiency 2. Resource Allocation 3. Virtualization-IBM, Intel, AMD 4. Terminal Servers-thin clients, Terminal Services, LTSP 5. Power Management- APM ,ACPI, undervolting(SpeedStep) 6. “Data Center” Power-Google Inc. 7. Material Recycling 3
  4. 4.  Virtualized Computing Platform  Scalable use of computing resources  Pay-per-Use concept  “Passive” Consumers to “Prosumers”  Amazon, Google, Microsoft  Service Levels : - Cloud Computing SOFTWARE AS A SERVICE-Consume it PLATFORM AS A SERVICE-Build on it INFRASTRUCTURE AS A SERVICE-Migrate to it 4
  5. 5. 5 Cloud Platform Usage based economics (CapEx to OpEx) Low IT skill to implement Accessed via the internet Third party provider
  6. 6.  Supply Chain Energy Usage  “Green” Data Centers  Steps : - 1. Diagnose opportunities & problems 2. Measure & Manage 3. Cool-”blanking panels” 4. Virtualize 5. Build  Server Virtualization  Energy-Aware Consolidation Green Cloud Computing -A Data Center Perspective 6
  7. 7.  Development of ICT  Moving Processor and Data closer to the User  Public Policy measures-Germany example, PPP  Locating Data Centers in the developing world  Economic Growth Green IT in developing regions -Introduction 7
  8. 8. Balancing Energy in Data Centers  Components : - Data Storage, Servers, LAN  Power Consumption  Hard Disk Arrays-Long term Storage  Server Consolidation 8
  9. 9.  OLPC Project  Low Power Computing Platforms- Modern Data Centers  “Managing” computing load  Prioritization  Virtualization technologies for Data Centers  Cooling Data Centers- “42%”  Used in Solar PV Systems Energy Aware Data Center Management 9
  10. 10. Power Usage Effectiveness(PUE) 10
  11. 11. 11
  12. 12.  UCAD Data Center  Campus Wide Backbone  Area occupied : - 60 square meters  Operates 24 hours a day  Servers : - 500 watts each  Green Data Center approach : - Racks  Cloud Computing involves : - 1. Workload Diversification 2. Power management flexibility  Low Power Processors in data centers : - Microsoft  Earth Rangers Case Study of Senegal 12
  13. 13. UCAD Data Center 13
  14. 14.  Horizontal Approach : - “Rack” Design  Peak Daily Energy : - 23 KW  Normal Daily Usage : - 6.8 KW  Cloud Scheme : - Two Full Racks completely powered for 24/7  Area Required : - 1240 sq. feet  Solar PV Array Switch Gear UPS PDU IT Gear Zone AC Total Green Cloud Rack 0.05 0.08 0.05 0.6 0.2 0.98 KW Current Data Centre- Racks 0.1 0.5 0.9 9.8 4.5 15.7 KW 14
  15. 15. Rack Design 15
  16. 16.  Cell Phone Company  Concerns : - 1. Test Environment Resource Availability 2. No good Scheduling Process 3. Server Waste  Private Cloud Designed  Benefits : - 1. Reduced time to test servers 2. Tight Scheduling 3. Reduced people resources 4. “Eliminates Cloud Security” 5. Reduced test server waste Case Study in South Africa 16
  17. 17.  During 2010, the cell phone company’s South Africa IT landscape continued to increase in size and complexity, here is analysis of benefits to a cell phone company.  1100+ Server Instances  40% - 60% - estimated spend on maintaining current IT infrastructures versus adding new capabilities  87.03% avg .idle – The company has an average of 12.97% CPU usage across platforms – test is lower Case Study in South Africa 17
  18. 18.  Bank in Johannesburg  Benefits : - 1. Speed: Test system setup that previously took two weeks now takes two hours. 2. Energy Savings: The bank reported a reduction of virtual servers by half, reducing power and cooling in half.  Conclusions : - 1. Incentive for IT h/w and s/w makers 2. To have better measurement facilities Case Study in South Africa 18
  19. 19.  Green ICT Standardization in India : - GISFI  Started in 2010  Background info 1. High GHG emission 2. Fastest mobile subscriber growth rate 3. Erratic power supply 4. No network optimization  Solutions : - 1. To reduce carbon intensity by 20-25 % using fuel efficiency standards 2. Network deployment by developing energy efficient base stations Indian Scenario 19
  20. 20.  Data Centers:  As of 2007, 14% of all ICT emission is caused by Data Centers  Roughly 50% of the emission due to data centers is due to power system losses and cooling loads  Rapid Growth in use of IPTV, VOIP, enterprise IT  Use of both Corporate and Internet Data Centers. Indian Scenario 20
  21. 21.  Examples mentioned will help in harnessing energy  Lots of research to be carried out  Maximizing Efficiency of Green Data Centers  Developing Regions to benefit the most Go Green!!! 21
  22. 22. THANK YOU & ANY Questions? Wish u a Green Day 22

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