This document discusses green cloud computing. It begins by defining green computing and cloud computing individually. Green computing aims to reduce power consumption and environmental impact of IT, while cloud computing involves virtualized and interconnected computers. Green cloud computing combines these concepts by making cloud infrastructure and operations more energy efficient. The document then covers benefits like reduced energy use, the role of dynamic provisioning and multi-tenancy in cloud enabling green computing, and a case study on a green cloud architecture and scheduling policies that can reduce carbon emissions by 20%.

1. Green Cloud
Computing
Presented To
Mrs Mala Kalra
Assistant Professor
Presented By
Swati Nautiyal
162420

2. Green Computing
• Green computing is the study and practice
of environmentally sustainable computing
or Information Technology.
• Achieved by reducing the overall power
consumption

3. Cloud Computing
A cloud is a distributed computing system
consisting of a collection of interconnected
and virtualized computers .
Types of cloud
• Saas
• Paas
• Iaas
Deployment model
•Public
•Private
•Hybrid

4. Green Cloud Computing
• It is the combination of green computing
and cloud computing.
• The green cloud presents a simulation
environment for energy aware cloud
computing data centers.

5. Need Of Green Cloud Computing
• In the last compel of years, more data centers
are came into existence the energy
consumption of these data centers are also
increased to a great extent.¹
• In 2007, Gartner estimated that ICT industry
generates about 2% of the total global CO2¹

6. Benefits
1. Reduce energy consumption of computing
resources during peak operation.
2. Save energy during idle operation.
3. Use eco-friendly sources of energy.
4. Reduce harmful effects of computing resources.
5. Reduce computing wastes

7. Cloud Enabling Green Computing
According to Accenture Report² , there are
following key factors that have enabled the
cloud computing to lower energy usage
and carbon emission.
• Dynamic Provisioning
• Multi-tenancy
• Server Utilization
• Datacenter Efficiency

8. Cloud Computing And Energy
Usage Model

9. Cont.
• User/Cloud Software Application
energy consumption is directly proportional to the
application’s profile.
• Cloud software stack for SaaS, PaaS IaaS
Cloud software stack leads to an extra overhead
in execution of end user applications.(accounting,
monitoring,recoveryetc).
• Network Devices
Energy consumption is same during
both peak time and idle time.

10. Green Cloud Architecture

11. Cont.
• SaaS Level
Use datacenters which are energy efficient and
near to user.
• PaaS Level
Use various energy profiling tools such as
JouleSort.
• IaaS Level
Use latest technologies for IT and cooling
system to have most energy efficient
infrastructure

12. Case Study: IaaS Provider
Five policies employed for scheduling by
Green Broker
• Greedy Minimum Carbon Emission(GMCE)
• Minimum Carbon Emission-Minimum
Carbon Emission(MCE-MCE)
• Greedy Maximum Profit(GMP)
• Maximum Profit-Maximum Profit(MP-MP)
• Minimizing Carbon Emission and Maximum
Profit(MCE-MP)

13. Cont.

14. Cont.

15. Conclusion
Green policies reduces carbon emission by
almost 20%
Even though Green cloud framework
embeds various features to make Cloud
computing much more green, there are
still many technological solutions are
required to make it a reality.

16. References
• 1. Rivoire, S., Shah, M. A., Ranganathan, P., and Kozyrakis, C.
2007. Joulesort: a balanced energy-efficiency benchmark,
Proceedings of the 2007 ACM SIGMOD International Conference on
Management of Data, NY, USA.
• 2. Saurabh Kumar and Rajkumar Buyya, “Green Cloud Computing
and Environmental Sustainability”, Harnessing Green It: Principles
and Practices, September 4.2012
• Ankita Atrey, Nikita Jain and Iyengar N.Ch.S.N., “A Study on Green
Cloud Computing”, proceeding of the International Journal of Grid
and Distributed Computing Vol.6, No.6 (2013), pp.93-102

17. THANK YOU