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Dynamic Chunk Allocation and Migration in Cloud Environment

by Deepali R. Joshi, B. M. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 10
Year of Publication: 2016
Authors: Deepali R. Joshi, B. M. Patil
10.5120/ijca2016911594

Deepali R. Joshi, B. M. Patil . Dynamic Chunk Allocation and Migration in Cloud Environment. International Journal of Computer Applications. 149, 10 ( Sep 2016), 8-14. DOI=10.5120/ijca2016911594

@article{ 10.5120/ijca2016911594,
author = { Deepali R. Joshi, B. M. Patil },
title = { Dynamic Chunk Allocation and Migration in Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 10 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number10/26032-2016911594/ },
doi = { 10.5120/ijca2016911594 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:22.394543+05:30
%A Deepali R. Joshi
%A B. M. Patil
%T Dynamic Chunk Allocation and Migration in Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 10
%P 8-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing allows the all users to upload and download the resources as per their need. For allocating the resources cloud uses the virtualization concept. It allocates the data center resource to users on demand and minimizes the number of servers. If a load on server increases at that time user cannot get the required result within a time. For that purpose load rebalancing must be done. In this work we are applying the concept of “skewness” to measure the unevenness in utilization of servers. To minimizing the skewness, here we introduce the concept of load Re-balancing in cloud framework. It consider The CPU usage as well as memory for migrate the data object in to the server.

References
  1. Zhen Xiao, Senior Member, IEEE, Weijia Song, and Qi Chen "dynamic resource allocation using virtual machine for cloud computing environment", in ieee transaction on parallel and distributed systems year 2013.
  2. L. Siegele, “Let it rise: A special report on corporate IT,” in The Economist, Oct. 2008.
  3. M.Armbrust et al., “Above the clouds: A berkeley view of cloud computing,” University of California, Berkeley, Tech. Rep., Feb 2009.
  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. of the ACM Symposium on Operating Systems Principles (SOSP’03), Oct. 2003.
  5. "Amazon elastic compute cloud (Amazon EC2), http://aws.amazon.com/ec2/.”
  6. TPC-W: Transaction processing performance council, http://www.tpc.org/tpcw/.”
  7. J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle, “Managing energy and server resources in hosting centers,” in Proc. of the ACM Symposium on Operating System Principles (SOSP’01), Oct. 2001.
  8. C. Tang, M. Steinder, M. Spreitzer, and G. Pacifici, “A scalable application placement controller for enterprise data centers,” in Proc. of the International World Wide Web Conference (WWW’07), May 2007.
  9. G. Chen, H. Wenbo, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao, “Energy-aware server provisioning and load dispatching for connection-intensive internet services,” in Proc. of the USENIX Symposium on Networked Systems Design and Implementation (NSDI’08), Apr. 2008.
  10. M.Zaharia, A. Konwinski, A. D. Joseph, R. H. Katz, and I. Stoica, “Improving MapReduce performance in heterogeneous environments,” in Proc. of the Symposium on Operating Systems Design and Implementation (OSDI’08), 2008.
  11. A.Singh, M. Korupolu, and D. Mohapatra, “Server-storage virtualization: integration and load balancing in data centers,” in Proc. of the ACM/IEEE conference on Supercomputing, 2008.
  12. DhineshBabu L.D, P. Venkat, "Honey bee behavior inspired load balancing o aKrishnaf tasks incloud computing environments", Applied Soft Computing 13 (2013) 22922303.
  13. Bin Dong, Xiuqiao Li, QimengWu, Limin Xiao, Li Ruan, A dynamic and adaptive load balancingstrategy for parallel file system with large-scale I/O servers, J. Parallel Distribution Computing.
  14. ChahitaTanak, Rajesh Bharati “Load Balancing Algorithm for DHT Based Structured Peer to PeerSystem”International Journal of Emerging Technology and Advanced Engineering (ISSN 2250- 2459, ISO9001:2008 Certified Journal, Volume 3, Issue 1, January 2013).
  15. C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, “Live migration of virtual machines,” in Proc. of the Symposium on Networked Systems Design and Implementation (NSDI’05), May 2005.
  16. M. Nelson, B.-H. Lim, and G. Hutchins, “Fast transparent migration for virtual machines,” in Proc. of the USENIX Annual Technical Conference, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Virtualization dynamic resource allocation Data center Load Re-balancing

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