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Reseach Article

An Approach for VM Allocation in Cloud Environment

by Abhijitsinh T. Parmar, Rutvik Mehta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 1
Year of Publication: 2015
Authors: Abhijitsinh T. Parmar, Rutvik Mehta
10.5120/ijca2015905679

Abhijitsinh T. Parmar, Rutvik Mehta . An Approach for VM Allocation in Cloud Environment. International Journal of Computer Applications. 131, 1 ( December 2015), 1-5. DOI=10.5120/ijca2015905679

@article{ 10.5120/ijca2015905679,
author = { Abhijitsinh T. Parmar, Rutvik Mehta },
title = { An Approach for VM Allocation in Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 1 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number1/23410-2015905679/ },
doi = { 10.5120/ijca2015905679 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:03.325106+05:30
%A Abhijitsinh T. Parmar
%A Rutvik Mehta
%T An Approach for VM Allocation in Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 1
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, the Internet can be represented as a cloud and the term “Cloud Computing” in computing research and industry today has the potential to make the new idea of ‘computing as a utility’ in the near future. The goal of Cloud computing is to provision of computing and storage capacity as a service to a heterogeneous community of end-users. Resource management is key process in cloud computing for cloud service provider. Resource allocation is part of resource management process and main objective of it is to balance the load across Virtual Machine (VM). This paper proposes a novel VM allocation load balancing algorithm. Allocation is made on the basis of the Assignment Problem’s solution method concept, which is formulated for cloud. Further, this paper also provides the anticipated results with the implementation of the proposed algorithm.

References
  1. Jiayin Li, Meikang Qiu, Yu Chen., “Adaptive Resource Allocation for Preemptable Jobs in Cloud Systems”, IEEE 10th International Conference on Intelligent Systems Design and Applications, 2010.
  2. Weiwei Lin, James Z. Wang, Chen Liang, Deyu Qi, “A Threshold-based Dynamic Resource Allocation Scheme for Cloud Computing”, Procedia Engineering, Volume 23, Pages 695-703, ISSN 1877-7058, Elsevier, 2011.
  3. S. Ray and A. De Sarkar, “Resource Allocation Scheme in Cloud Infrastructure,” 2013 IEEE Int. Conf. Cloud Ubiquitous Comput. Emerg. Technol., pp. 30–35, Nov. 2013.
  4. Pawar, C.S.; Wagh, R.B., "Priority Based Dynamic Resource Allocation in Cloud Computing," 2012 IEEE International Symposium on Cloud and Services Computing (ISCOS), vol., no., pp.1,6, 17-18 Dec. 2012.
  5. Huifang Li; Siyuan Ge; Lu Zhang, "A QoS-based scheduling algorithm for instance-intensive workflows in cloud environment," IEEE The 26th Chinese Control and Decision Conference (2014 CCDC), vol., no., pp.4094,4099, May 31 2014-June 2 2014.
  6. Hongwei Zhao; Wang Chenyu, "A Dynamic Dispatching Method of Resource Based on Particle Swarm Optimization for Cloud Computing Environment," IEEE 10th Web Information System and Application Conference (WISA), vol., no., pp.351,354, 10-15 Nov. 2013.
  7. R. Buyya, C. Shin, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging IT platforms : Vision, hype, and reality for delivering computing as the 5th utility,” Futur. Gener. Comput. Syst., vol. 25, no. 6, pp. 599–616, 2009.
  8. A study on transportation problem, transshipment problem, assignment problem and supply chain management by Gaglani, Mansi Suryakant http://hdl.handle.net/10603/3970.
  9. M. E. Frincu and S. Genaud, “On the efficiency of several VM provisioning strategies for workflows with multi-threaded tasks on clouds,” Springer, 2014.
  10. Phyu Thwe, “Proposed Approach For Web Page Access Prediction Using Popularity And Similarity Based Page Rank Algorithm”, International Journal of Scientific & Technology Research (IJSTR), Volume 2, Issue 3, March 2013.
  11. Dilpreet Kaur, A.P. Sukhpreet Kaur, “User Future Request Prediction Using KFCM in Web Usage Mining”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol. 2, Issue 8, August 2013.
  12. Kaushal Kishor Sharma, Prof. Kiran Agrawal, “A Hybrid Approach for Predicting User’s Future Request”, Proceedings of Fourth International Conference on Communication System and Network Technologies, IEEE, 2014.
  13. C. Dimopoulos, C. Makris, Y. Panagis, E. Theodoridis, A. Tsakalidis, “A Web page usage prediction scheme using sequence indexing and clustering techniques”, Data & Knowledge Engineering 69, 371-382, 2009.
  14. Etzioni, O. “The World-wide web: Quagmire or gold mine,” in Communication of the ACM, 1996, 65-68.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Resource Allocation Assignment Problem Virtual Machine (VM).