This document discusses green cloud computing from the perspective of data centers. It begins with background on green computing and cloud computing. It then discusses how green cloud computing can help balance energy usage in data centers through server virtualization, energy-aware consolidation, and locating data centers in developing regions. The document presents two case studies, one on a green data center in Senegal and another on benefits realized by a cell phone company in South Africa from implementing a private cloud. It concludes with sections on the Indian scenario for green IT standardization and a call to continue research efforts to maximize efficiency of green data centers.

1. GREEN CLOUD COMPUTING
-A Data Center Approach
Sukhpal Singh Gill
PhD Research Scholar
Thapar University, Patiala
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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
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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.  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
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5. 5
Cloud Platform
Usage based
economics
(CapEx to OpEx)
Low IT skill to
implement
Accessed via
the internet
Third party provider

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
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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
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8. Balancing Energy in Data Centers
 Components : - Data Storage, Servers, LAN
 Power Consumption
 Hard Disk Arrays-Long term Storage
 Server Consolidation
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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
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10. Power Usage Effectiveness(PUE)
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11. 11

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
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13. UCAD Data Center
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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
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15. Rack Design
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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
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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
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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
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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
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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
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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!!!
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22. THANK YOU
&
ANY Questions?
Wish u a Green Day
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