Rapid growth of the demand for computational power by scientific, business and web-applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. Generally it has been proposed that energy efficient resource management system for virtualized Cloud data centers that reduces operational costs and provides required Quality of Service (QoS). Energy savings are achieved by continuous consolidation of VMs according to current utilization of resources, virtual network topologies established between VMs and thermal state of computing nodes. From so long improving performance has been the primary motive of computing systems industry whose growth is steadily fuelled by resource hungry applications. A typical data centre with 1000 racks needs 10 MW of power to operate, which is sufficient enough to power a small city. With increasing shift in migrating services to cloud the power demands of the backend data centers will continue to grow. Apart from consuming enormous power, 'Cloud's also increase global carbon foot print. It is mentioned in the popular reports that industry generates about 2% of the total global CO2 emissions, which is equivalent to the aviation industry. The primary objectives of this research are to create Simplified Energy models for physical systems and virtual machines by monitoring their resource usage.

1. Prof. Saleem Bhatti Green cloud. andrews. ac. uk/node/1723#green_cloud, 2009.
2. G. E Moore et al. cramming more components onto integrated circuits. Proceedings of the IEEE, 86(1):8285, 1998.
3. Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, and Rajkumar Buyya. Energy-e cient scheduling of hpc applications in cloud computing environments. CoRR, abs/0909. 1146, 2009.
4. Gartner estimates ict industry accounts for 2 percent of global co2 emissions. http://www. gartner. com/it/page. jsp?id=503867, April 2007
5. Summary of the Copenhagen climate change conference - 7-19 December 2009 – Copenhagen Denmark. http://www. iisd. ca/vol12/enb12459e. html, 2009.
6. Michael Armbrust, Armando Fox, Rean Grith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and MateiZaharia. Above the clouds: A berkeley view of cloud computing. Technical report, University of Berkeley, California, February 2009.
7. Energy consumption in data centre (silicon). http://www. podtech. net/home/5116/energy consumption-in-the-data-center,April 2008.
8. L. Minas and B. Ellison. The problem of power consumption in servers, Intel-lab. Dr. Dobbs Journal May 2009.
9. Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, Alex Ho, Rolf Neugebauer, Ian Pratt, and Andrew War eld. Xen and the art of visualization. In SOSP '03: Proceedings of the nineteenth ACM symposium on Operating systems principles, pages 164{177, New York, NY, USA, 2003. ACM. ISBN 1-58113-757-5. doi: http://doi. acm. org/10. 1145/945445. 945462.
10. N. M. Mosharaf Kabir Chowdhury and Raouf Boutaba. A survey of network virtualization. Computer Networks, 54(5):862 {876, 2010. ISSN 1389-1286. doi: DOI:10. 1016/j. comnet. 2009. 10. 017. URLhttp://www. sciencedirect. com/science/article/B6VRG-4XKBYY4-4/2/91ac30e6e1c4d24c53d95798a6148f03.
11. P Reisner and L Ellenberg, Drbd v8replicated storage with shared disk semantics. In Proceedings of the 12th International Linux System, 2005, 2005.
12. Christopher Clark, Keir Fraser, Steven Hand, Jacob Gorm Hansen, Eric Jul, Chris-tian Limpach, Ian Pratt, and Andrew War eld. Live migration of virtual machines. In NSDI'05: Proceedings of the 2nd conference on Symposium on Networked Sys-tems Design & Implementation, pages 273{286, Berkeley, CA, USA, 2005. USENIX Association.
13. Agentless monitoring | agentless server monitoring | http://www. eginnovations. com/web/egagentless. htm
14. SerafeimZanikolas and RizosSakellariou. Taxonomy of grid monitoring systems. Future Generation Comp. Syst. , 21(1):163{188, 2005.
15. Anton Beloglazov, Rajkumar Buyya, Young Choon Lee, and Albert Y. Zomaya. A taxonomy and survey of energy-e cient data centers and cloud computing systems. CoRR, abs/1007. 0066, 2010.
16. Wattsup. Watts up? products: Meter https://www. wattsupmeters. com/secure/products. php?pn=0, 2009.
17. Aman Kansal, Feng Zhao, Jie Liu, Nupur Kothari, and Arka Bhattacharya. Virtual machine power metering and provisioning. In ACM Symposium on Cloud Com-puting (SOCC), June 2010. URL http://research. microsoft. com/apps/pubs/default. aspx?id=120435.
18. Timothy Wood, Prashant Shenoy, and Arun. Black-box and gray-box strategies for virtual machine migration. In 4th USENIX Symposium on Networked System Design and Implementation, pages 229{242, 2007}. http://www. usenix. org/events/nsdi07/tech/wood. html.
19. Paul Marshall, Kate Keahey, and Timothy Freeman. Elastic site: Using clouds to elastically extend site resources. In CCGRID, pages 43{52. IEEE, 2010}.

Energy Efficient Resource Management Virtualized Cloud Data Centers Virtual Machine (vm) Quality Of Service (qos) Computational Power Simplified Energy Models.