CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Survey on Different VM Scheduling Approach in Cloud Computing Environment

by Prafulla Chakankar, Nishchol Mishra, Sanjeev Sharma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 9
Year of Publication: 2016
Authors: Prafulla Chakankar, Nishchol Mishra, Sanjeev Sharma
10.5120/ijca2016908552

Prafulla Chakankar, Nishchol Mishra, Sanjeev Sharma . A Survey on Different VM Scheduling Approach in Cloud Computing Environment. International Journal of Computer Applications. 136, 9 ( February 2016), 1-3. DOI=10.5120/ijca2016908552

@article{ 10.5120/ijca2016908552,
author = { Prafulla Chakankar, Nishchol Mishra, Sanjeev Sharma },
title = { A Survey on Different VM Scheduling Approach in Cloud Computing Environment },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 9 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number9/24178-2016908552/ },
doi = { 10.5120/ijca2016908552 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:36.050746+05:30
%A Prafulla Chakankar
%A Nishchol Mishra
%A Sanjeev Sharma
%T A Survey on Different VM Scheduling Approach in Cloud Computing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 9
%P 1-3
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud is the one of the fastest emerging technology in the IT world. Its supply on-demand IT resources to the client on the rent basis. In a very short time demand for the computing resources is increasing dramatically. To accomplish this demand virtualization approach is used which allow the sharing of physical resources. PM is virtualized by using the hypervisor that creates the VM according to the user need and assign to the users. Each user has its own VM and number of VM is running in single physical machine. As the size of the datacenter is increases, it can serve the more and more users but it will also introduce some issues that have to resolve for the proper utilization of the cloud services. Resource scheduling or the proper distribution of the physical resources is one of the critical issues in the cloud. Proper resource distribution can not only maximize the throughput but also increase the resource utilization of the physical machine. Resource scheduling is a challenging task in the cloud because user requirement for the resource can change dynamically. Various techniques have been proposed during the last decade in the field of resource scheduling. This paper discussed some of the existing resource scheduling algorithm with their anomalies..

References
  1. M. D. Dikaiakos, G. Pallis, D. Katsa, P. Mehra, and A. Vakali, “Cloud Computing: Distributed Internet Computing for IT and Scientific Research”, IEEE Journal of Internet Computing, Vol. 13, No. 5, September/October 2009, pages 10-13. Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  2. P. Mell and T. Grance, The NIST definition of cloud computing, http://csrc.nist.gov/ publications/nistpubs/800-145/SP800-145.pdf, 2012.
  3. R. W. Luckyet al., “Cloud computing”, IEEE Journal of Spectrum, Vol. 46, No. 5,May 2009, pp. 27-45.
  4. R. K. Gupta et al., “A Complete Theoretical Review on Virtual Machine Migration in Cloud Environment”, International Journal of Cloud Computing and Services Science (IJ-CLOSER), Vol.3, No.3, June 2014, pp. 172-178.
  5. R. K. Gupta et al.,,” Survey on Virtual Machine Placement Techniques in Cloud Computing Environment”, International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014, pp. 1 -7.
  6. G. Pallis, “Cloud Computing: The New Frontier of Internet Computing”, IEEE Journal of Internet Computing, Vol. 14, No. 5, September/October 2010, pages 70-73.
  7. D.Perez Botero, “A brief tutorial on live migration of virtual machine from a security perspective”, 2011.
  8. C. Clark, K. Fraser, s. Hand and J.C. Warfield, “Live migration of virtual machine”, proceeding of the 2nd conference on symposium on network system design and implementation, 2007.
  9. T. Wood et al., “Black-Box and Gray-Box strategies for virtual machine migration”, proc. 4th conference on symposium on network system design and implementation, 2007.
  10. Mayank Mishra and Anirudha Sahoo, “On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach”, IEEE 4th international conference on cloud computing in 2011.
  11. Y. Fang, F. Wang, and J. Ge, “A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing”, Web Information Systems and Mining, Lecture Notes in Computer Science, Vol.6318, 2010, pages 271-277.
  12. T. R. Armstrong and D. Hensgen, “The relative performance of various mapping algorithms is independent of sizable variances in runtime predictions”, in Proc. of 7th IEEE Heterogeneous Computing Workshop (HCW 98), pp. 79-87,1998.
  13. K. Dasgupta et al.,“A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing“ in Proc. of Elsevier, Procedia Technology 2013.
  14. M. S. Pilavare and A. Desai," A Novel Approach Towards Improving Performance of Load Balancing Using Genetic Algorithm in Cloud Computing ", proceeding of EEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15, pp.1-4, 2015.
  15. Nitin kumar Mishra and Nishchol Mishra," CELBT: An Algorithm for Efficient Cost based Load Balancing in Cloud Environment", International Journal of Computer Applications (IJCA), Volume 134 – No.1, pp. 8-11, January 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing virtualization migration resource scheduling load balancing.

Powered by PhDFocusTM