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Energy Efficient Dynamic Integration of Thresholds for Migration at Cloud Data Centers

IJCA Special Issue on Communication and Networks
© 2011 by IJCA Journal
comnetcn - Number 1
Year of Publication: 2011
Richa Sinha
Nidhi Purohit
Hiteishi Diwanji

Richa Sinha, Nidhi Purohit and Hiteishi Diwanji. Article: Energy Efficient Dynamic Integration of Thresholds for Migration at Cloud Data Centers. IJCA Special Issue on Communication and Networks comnetcn(1):44-49, December 2011. Full text available. BibTeX

	author = {Richa Sinha and Nidhi Purohit and Hiteishi Diwanji},
	title = {Article: Energy Efficient Dynamic Integration of Thresholds for Migration at Cloud Data Centers},
	journal = {IJCA Special Issue on Communication and Networks},
	year = {2011},
	volume = {comnetcn},
	number = {1},
	pages = {44-49},
	month = {December},
	note = {Full text available}


Cloud Computing is one of the fast spreading technologies for providing utility-based IT services to its user. Large-scale virtualized data-centers are established to meet this requirement. Data centers consumes large amount of computation power for providing efficient and reliable services to its user. Such large consumption of electrical energy has increased operating cost for the service providers as well as for the service users. Moreover, a large amount of carbon dioxide is emitted, results into increased global warming in near future. From our studies we concluded that, power consumption can be reduced by live migration of the virtual machines (VM) as required and by switching off idle machines. So, we proposed a dynamic threshold based approach for CPU utilization for host at data center. This consolidation will work on dynamic and unpredictable workload avoiding unnecessary power consumption. We will not only meet energy efficiency requirement but would also ensure quality of service to the user by minimizing the Service Level Agreement violation. We would also validate the proposed technique results with higher efficiency.


  • R. Buyya, CS Yeo,S. Venugopal, J. Broberg, I. Brandic, “Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems, 2011
  • R. Buyya et al. Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. In Proc. of the 10th IEEE Intl. Conf. on High Performance.
  • R. Brown. “Report to congress on server and data center energy efficiency: Public law 109-431”. Lawrence Berkeley National Laboratory, 2008
  • Peer1 hosting site puts a survey on “Visualized: ring around the world of data center power usage”. From ,2011
  • L. A. Barroso and U. Holzle. “The case for energy-proportional computing.” Computer, 2007
  • X. Fan, “Power provisioning for a warehouse-sized computer” In Proc. of the 34th Annual Intl. Symp. On Computer Architecture, 2007
  • C Clark, K Fraser, S Hand, J G Hanseny, E July,C Limpach, I Pratt, A Wareld ,“Live Migration of Virtual Machines” NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation ,2005
  • E Arzuaga, D R Kaeli, “Quantifying load imbalance on virtualized enterprise servers.” In WOSP/SIPEW ’10: Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering, ACM, 2010.
  • H W Choi, H Kwak, A Sohn, K Chung, “Autonomous learning for efficient resource utilization of dynamic vm migration.” In ICS ’08: Proceedings of the 22nd annual international conference on Supercomputing, ACM, 2008.
  • Y. Song, “Multi-Tiered On-Demand resource scheduling for VM-Based data center” In Proc. of the 2009 9th IEEE/ACM Intl. Symp. on Cluster Computing,155, 2009.
  • B Heller,S Seetharaman, P Mahadevan,Y Yiakoumis, P Sharma,S Banerjee,N McKeown,” ElasticTree: Saving Energy in Data Center Networks”NSDI 2010
  • D. Gmach , “Resource pool management: Reactive versus proactive or let Ss be friends”. Computer Networks, 2009
  • A. Beloglazov, R. Buyya, “Energy efficient allocation of virtual machines in cloud data centers”. 10th IEEE/ACM Intl. Symp. on Cluster, Cloud and Grid Computing ,2010.
  • G Laszewskiy, L Wangz, A J. Youngez, X Hez,“Power-Aware Scheduling of Virtual Machines in DVFS-enabled Clusters, IEEE,2009
  • VMware Inc. “VMware distributed power management concepts and use”, 2010.
  • A Beloglazov ,R Buyya, “Energy Efficient Resource Management in Virtualized Cloud Data Centers”10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010
  • X. Fan, “Power provisioning for a warehouse-sized computer” In Proc. of the 34th Annual Intl. Symp. On Computer Architecture, 2007
  • D. Kusic, “Power and performance management of virtualized computing environments via lookahead control”. Cluster Computing, 2009.
  • Jason Sonnek and Abhishek Chandra Virtual Putty: “Reshaping the Physical Footprint of Virtual Machines” HotCloud ,2009
  • R. yahyapour, C. Perez, E. Elmroth, I. M. Llorente, F. Guim and K. Oberle, “ Introduction” . Euro –Par 2011 Parallel Processing .Springer, 2011
  • R. Calheiros, R Ranjan, César A. F. De Rose, R. Buyya, “ CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services” , 2011
  • Tom Davis, “Bin Packing”, 2006.