We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Techniques used For Workload Distribution in Virtualized Data Centers

by Tejashwini Bhamare, Bhushan Nandwalkar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 10
Year of Publication: 2016
Authors: Tejashwini Bhamare, Bhushan Nandwalkar
10.5120/ijca2016910917

Tejashwini Bhamare, Bhushan Nandwalkar . Techniques used For Workload Distribution in Virtualized Data Centers. International Journal of Computer Applications. 146, 10 ( Jul 2016), 1-5. DOI=10.5120/ijca2016910917

@article{ 10.5120/ijca2016910917,
author = { Tejashwini Bhamare, Bhushan Nandwalkar },
title = { Techniques used For Workload Distribution in Virtualized Data Centers },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 10 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number10/25431-2016910917/ },
doi = { 10.5120/ijca2016910917 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:01.869267+05:30
%A Tejashwini Bhamare
%A Bhushan Nandwalkar
%T Techniques used For Workload Distribution in Virtualized Data Centers
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 10
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To build the efficiency of system in the server, consolidation techniques are utilized however because of this performance of system can degraded. So consolidation and migration methods are utilized to enhance workload execution in virtualized data center. In consolidation method number of physical machine (PM) decreases and create number of virtual machine. VMWARE is utilized to make different number of VM (Virtual Machines) .it produce numerous VM on single PM. For this reason two modules are utilized consolidation, which gives set of workload, minimize the number of PM by a integer programming model, Migration module which gives workload from consolidation module to VM by Polynomial time calculation. LSAP(Linear sum assignment problem) method used to solve problem during migration that problem called migration planning problem (during migration from source VM to destination VM it took much time and increases number of migration because the VM which will be migrated is already associated with other workload) for this problem Hungarian algorithm in LSAP method to solve this problem.

References
  1. Kejiang Ye, Zhaohui Wu, Chen Wang, Bing Bing Zhou,Weisheng Si, Xiaohong Jiang, and Albert Y. Zomaya, Fellow, “Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers”, IEEE Trans, VOL. 26, NO. 3, 2015
  2. T. N. Y. Times, The cloud factories: Power, pollution and the internet. [Online]. Available: http://www.nytimes.com/2012/09/23/technology/data-centers-waste-vast-amounts-of-energybelying- industry-image.html, 2014.
  3. L. Barroso and U. Holzle, “The case for energy-proportional computing,” Comput., vol. 40, no. 12, pp. 33–37, 2007.
  4. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, “Xen and the art of virtualization,” in Proc. ACM SIGOPS Oper. Syst. Rev., 2003, vol. 37, no. 5, pp. 164–177.
  5. C. Clark, K. Fraser, S. Hand, J. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, “Live migration of virtual machines,” in Proc. 2nd Conf. Symp. Netw. Syst. Des. Implementation-Volume 2, 2005, pp. 273–286.
  6. B. Speitkamp and M. Bichler, “A mathematical programming approach for server consolidation problems in virtualized data centers,” IEEE Trans. Serv. Comput., vol. 3, no. 4, pp. 266–278, Oct. 2010.
  7. T. Ferreto, M. Netto, R. Calheiros, and C. De Rose, “Server consolidation with migration control for virtualized data centers,” Future Generation Comput. Syst., vol. 27, no. 8, pp. 1027–1034, 2011.
  8. A. Verma, P. Ahuja, and A. Neogi, “Pmapper: Power and migration cost aware application placement in virtualized systems,” in Proc. 9th ACM/IFIP/USENIX Int. Conf. Middleware, 2008, pp. 243–264.
  9. X. Liu, C.Wang,B.Zhou,J. Chen,T. Yang,andA.Zomaya, “Priority based consolidation of parallel workloads in the cloud,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 9, pp. 1874–1883, Sep. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Migration Consolidation Physical Machine (PM) Virtual Machine (VM) etc

Powered by PhDFocusTM