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Study of Different Scheduling Techniques to Manage and Conserve Energy in Cloud Data Centers


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1 Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
     

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Cloud computing is a major building block of current technology. The major investment in the area of cloud computing is because the efficient way of delivering required set of software and tools at the doorstep. In this paper we will try to cover different techniques such as DVFS, Round Robin, SJF, VM migration to test the efficiency of cloud data centers in regards to above mentioned techniques. These methods will be evaluated on the basis of three different parameters that are number of Cloudlets, number of VM’s i.e. Virtual machine and number of Hosts.

Keywords

Cloud Data Center, DVFS, Energy Efficiency, Process Scheduling, SJF.
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  • Ibrahim Alzamil, MSc Computing and Management Session (2011/2012).
  • K. Arnold, J. Gosling, and D. Holmes, The Java Programming Language, Addison Wesley Professional, 2005.
  • P. Mell, and T. Grance, The National Institute of Standards and Technology (NIST) developed this document in furtherance of its statutory responsibilities under the Federal Information Security Management Act (FISMA) of 2002, Public Law, pp. 107-347, 2002.
  • Q. Zhang, L. Cheng, and R. Boutaba, “Cloud computing: State-of-the-art and research challenges,” Journal of Internet Services and Applications, vol. 1, no. 1, pp. 7-18, 2010.
  • J. Baliga, R. W. A. Ayre, K. Hinton, and R. S. Tucker, “Green cloud computing: Balancing energy in processing, storage, and transport,” In Proceedings of the IEEE, vol. 99, no. 1, pp. 149-167, January 2011.
  • D. Boru, D. Kliazovich, F. Granelli, P. Bouvry, and A. Y. Zomay, “Energy-efficient data replication in cloud computing datacenters,” 2013 IEEE Globecom Workshops (GC Wkshps), pp. 445-450, 2013.
  • A. Beloglazov, R. Buyya, Y. C. Lee, and A. Zomaya, “A taxonomy and survey of energy-efficient data centers and cloud computing systems,” Advances in Computers, vol. 82, pp. 47-111, 2011.
  • G. Banga, P. Druschel, and J. C. Mogul, “Resource containers: A new facility for resource management in server systems,” In Proc. 3rd OSDI, pp. 45-58, New Orleans, LA, February 1999.

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  • Study of Different Scheduling Techniques to Manage and Conserve Energy in Cloud Data Centers

Abstract Views: 178  |  PDF Views: 0

Authors

Shudhanshu Kulshrestha
Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
Tanmay Chaurasia
Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
Lakshay Chauhan
Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
Utkarsh Saxena
Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

Abstract


Cloud computing is a major building block of current technology. The major investment in the area of cloud computing is because the efficient way of delivering required set of software and tools at the doorstep. In this paper we will try to cover different techniques such as DVFS, Round Robin, SJF, VM migration to test the efficiency of cloud data centers in regards to above mentioned techniques. These methods will be evaluated on the basis of three different parameters that are number of Cloudlets, number of VM’s i.e. Virtual machine and number of Hosts.

Keywords


Cloud Data Center, DVFS, Energy Efficiency, Process Scheduling, SJF.

References