CFP last date
20 January 2025
Reseach Article

Power - Aware Virtual Machine Consolidation considering Multiple Resources with Live Migration

by Pallavi Gupta, Lokendra Vishwakarma, Awadheshwari Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 17
Year of Publication: 2014
Authors: Pallavi Gupta, Lokendra Vishwakarma, Awadheshwari Patel
10.5120/18295-9357

Pallavi Gupta, Lokendra Vishwakarma, Awadheshwari Patel . Power - Aware Virtual Machine Consolidation considering Multiple Resources with Live Migration. International Journal of Computer Applications. 103, 17 ( October 2014), 24-30. DOI=10.5120/18295-9357

@article{ 10.5120/18295-9357,
author = { Pallavi Gupta, Lokendra Vishwakarma, Awadheshwari Patel },
title = { Power - Aware Virtual Machine Consolidation considering Multiple Resources with Live Migration },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 17 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number17/18295-9357/ },
doi = { 10.5120/18295-9357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:50.122242+05:30
%A Pallavi Gupta
%A Lokendra Vishwakarma
%A Awadheshwari Patel
%T Power - Aware Virtual Machine Consolidation considering Multiple Resources with Live Migration
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 17
%P 24-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today the computing technologies require high level of efficiency and infrastructure that datacenters were unable to provide previously. Lack of efficient infrastructure can serve only limited number of users and simultaneously emits large amount of carbon footprint and over utilizes electrical power. Virtualization emerged as prime technique for service management and reduced energy expenses at datacenter. Hence, there is a need of virtualization techniques that enhance energy efficiency and CPU utilization along with required user's QoS (Quality of Service) in terms of minimum response time and maximum throughput. We propose efficient virtualization technique for dynamic VM consolidation according to the current power consumption by considering multiple resources (CPU, ram, and storage disk) with live migration of VMs by switching idle server to sleep mode, thus minimizing energy consumption at datacenter. The proposed approach can effectively handle strict SLA (Service Level Agreement) in homogeneous as well as in heterogeneous environment. The result verifies that the proposed algorithm reduces the number of active physical machines and it results into reduction of power consumption.

References
  1. R. Yamini, "Power Management in Cloud Computing Using Green Algorithm", IEEE International Conference on Advances in Engineering, Science and Management (ICAESM), pp. 128-133, Mar. 2012.
  2. J. G. Koomey, Report on "Estimating total power consumption by servers in the U. S. and the world", Feb. 5,2007. http://sites. amd. com/de/Documents/svrpwrusecompletefinal. pdf.
  3. V. K. Mohan Raj, R. Shriram, "Power Aware Provisioning in Cloud Computing Environment", IEEE International Conference on Computer, Communication and Electrical Technology (ICCCET), pp. 6-11, Mar. 2011.
  4. Tiago C. Ferreto, Macro A. S. Netto, Rodrigo N. Calheiros, Cesar A. F. De Rose, "Server Consolidation with migration control for virtualized datacenters", ELSEVIER International journal on Future Generation Computer Science (FGCS), vol. 27, issue 8, pp. 1027-1034, Oct. 2011.
  5. Anton Beloglazov and Rajkumar Buyya, "Energy Efficient Resource Management In Virtualized Cloud Datacenter", 10th IEEE/ACM International Conference on Cluster, Cloud And Grid Computing (CCGRID), pp. 826-831, 2010.
  6. No Limits Software, David Cole's White Paper on "Datacenter Energy Efficiency - looking beyond PUE" http://www. globalknowledge. nl/content/files/documents/224536/Data-Center-White-Paper-Data-Center.
  7. M. Poess, R. Nambiar, "Energy cost, the key challenge of today's data centers: a power consumption analysis of TPC-C results", ACM Proceedings of the VLDB Endowment, vol. 1 issue 2, pp. 1229-1240, Aug. 2008.
  8. Rodrigo N. Calheiros, Rajiv Ranjan, César A. F. De Rose, and Rajkumar Buyya, "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms", ACM journal of Software-Practice & Experience, vol. 41, issue 1, pp. 23-50, Jan. 2011.
  9. R. Neugebauer and D. McAuley, "Energy is just another re-source: Energy accounting and energy pricing in the nemesis OS", IEEE Proceedings of the Eighth Workshop on Hot Topics in Operating Systems, pp. 67-72, May 2001.
  10. H. Zeng, C. S. Ellis, A. R. Lebeck, and A. Vahdat, "ECOSys-tem: managing energy as a first class operating system resource," ACM SIGPLAN Notices, vol. 37, pp. 123-132, 2002.
  11. E. Pinheiro, R. Bianchini, E. V. Carrera, and T. Heath, "Load balancing and unbalancing for power and performance in cluster-based systems", Workshop on Compilers and Operating Systems for Low Power, pp. 182–195, 2001.
  12. Pat Bohrer, Elmootazbellah N. Elnozahy, Tom Keller, Michael Kistler, Charles Lefurgy, Chandler McDowell, and Ram Rajamony, "The case for power management in web servers", ACM Kluwer Academic Publishers, pp. 261–289, 2002.
  13. Taliver Heath, Bruno Diniz, Wagner Meira Jr. , Ricardo Bianchini, and Enrique V. Carrera, "Energy conservation in heterogeneous server clusters", 10th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP05), pp. 186-195, 2005.
  14. F. Hermenier, X. Lorca, J. Menaud, G. Muller, J. Lawall, "Entropy: a consolidation manager for clusters", Proceedings of the ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, pp. 41–50, 2009.
  15. Y. Song, H. Wang, Y. Li, B. Feng, Y. Sun, "Multi-tiered on-demand resource scheduling for VM-Based data center", 9th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID), pp. 148–155, May 2009.
  16. L. Hu, H. Jin, X. Liao, X. Xiong, H. Liu, "Magnet: a novel scheduling policy for power reduction in cluster with virtual machines", IEEE International Conference on Cluster Computing, pp. 13–22 , Oct. 2008.
  17. E. Elnozahy, M. Kistler, R. Rajamony, "Energy-efficient server clusters, Power-Aware Computer Systems", ACM Proceedings of the 2nd international conference on Power-aware computer systems (PACS'02), pp. 179-197, 2003.
  18. M. Cardosa, M. Korupolu, A. Singh, "Shares and utilities based power consolidation in virtualized server environments" Proceedings of the 11th IFIP/IEEE Integrated Network Management, IM, Long Island, NY, USA, pp. 327-334, 2009.
  19. A. Kansal, F. Zhao, J. Liu, N. Kothari, and A. A. Bhattacharya, "Virtual machine power metering and provisioning", Proceedings of the 1st ACM symposium on Cloud computing (SoCC), pp. 39-50, 2010.
  20. Jian-Sheng Liao, Chi-Chung Chang, Yao-Lun Hsu, Xiao-Wei Zhang, Kuan-Chou Lai, Ching-Hsien Hsu, "Energy-Efficient Resource Provisioning with SLA consideration on Cloud Computing", 41st IEEE International Conference on Parallel Processing Workshops (ICPPW), pp. 206-211 , 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Virtualization VM Consolidation Live Migration Service Level Agreement Energy Efficiency.