Adaptive Workload Management for Efficient Energy Utilization on Cloud

Authors

  • Prabakaran M PG Scholar, Computer Science Department, Muthayammal Engineering College, Rasipuram, Tamilandu
  • Parthiban M Assistant Professor, Information Technology Department, Muthayammal Engineering College, Rasipuram, Tamilandu

Keywords:

Distributed systems, Cloud computing, virtualization, dynamic consolidation, energy efficiency, host overload detection

Abstract

Cloud infrastructures must accommodate changing demands for different types of processing with workloads and time constraints. Dynamic consolidation of Virtual Machines (VMs) is an effective way to improve the utilization of resources and energy efficiency in Cloud data centers. To find when it is best to rearrange VMs from an overloaded host is an aspect of dynamic VM consolidation that directly influences the resource utilization and Quality of Service (QOS) delivered by the system

References

Anton Beloglazov and Rajakumar Buyya., “Managing Overloaded Hosts for Dynamic Consolidate of Virtual Machines in Cloud Data

Centers Under Quality of Service Constraint”, July 2013.

. N. Bobroff, A. Kochaut, and K. Beaty, “Dynamic placement of virtual machines for managing Service Level Agreement violation,” in

th IFIP/IEEE Intl. Symp. on Integrated Network Management (IM), 2007, pp. 119–128.

. D. Gmach, J. Rolia, L. Cherakasova, G. Belrosie, and A. Kemper, “An integrated approach to resource pool management: Policy,efficiency and quality metric,” in Proc. of IEEE Intl. Conf. on Dependable System and Network (DSN), 2008, pp. 326–335.

. Christian Strack ”Performance and Power Management for Cloud Infrastructures” Philipps University Marburg, Germany -Department of Mathematics and CSE, Distributed System Group.

J. Koomey,Growth in data center electricity use 2005 to 2010.Oakland, Analytics Press, 2011.

Gartner, Inc.,Gartner estimates ICT industry accounts for 2 percent of global CO2 emissions. Gartner Press Release (April 2007).

R. Nathuji and K. Schwan, “Virtualpower: Coordinated power management in virtualized enterprise system,”SIGOPS Operating System

Review, vol. 41, pp. 265–278, 2007.

A. Verma, P. Ahuja, and A. Nieogi, “pMapper: Power and migration cost aware application placement in virtualized system,” in 9th Intl. Conf. on Middleware, 2008,pp. 243–264.

Downloads

Published

2024-02-26

How to Cite

Prabakaran, M., & Parthiban, M. (2024). Adaptive Workload Management for Efficient Energy Utilization on Cloud. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(03), 604–608. Retrieved from https://ijact.in/index.php/j/article/view/108

Issue

Section

Original Research Article

Similar Articles

<< < 10 11 12 13 14 15 16 17 18 19 > >> 

You may also start an advanced similarity search for this article.