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Reseach Article

A Survey of Dynamic Replication Strategies based on Content Popularity

Published on June 2016 by Roshni Babykutty, M. B. Gudadhe
National Conference on Recent Trends in Computer Science and Information Technology
Foundation of Computer Science USA
NCRTCSIT2016 - Number 1
June 2016
Authors: Roshni Babykutty, M. B. Gudadhe
f4e09368-5bdc-4b22-85b6-be183238f4ad

Roshni Babykutty, M. B. Gudadhe . A Survey of Dynamic Replication Strategies based on Content Popularity. National Conference on Recent Trends in Computer Science and Information Technology. NCRTCSIT2016, 1 (June 2016), 17-21.

@article{
author = { Roshni Babykutty, M. B. Gudadhe },
title = { A Survey of Dynamic Replication Strategies based on Content Popularity },
journal = { National Conference on Recent Trends in Computer Science and Information Technology },
issue_date = { June 2016 },
volume = { NCRTCSIT2016 },
number = { 1 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /proceedings/ncrtcsit2016/number1/25020-1644/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Information Technology
%A Roshni Babykutty
%A M. B. Gudadhe
%T A Survey of Dynamic Replication Strategies based on Content Popularity
%J National Conference on Recent Trends in Computer Science and Information Technology
%@ 0975-8887
%V NCRTCSIT2016
%N 1
%P 17-21
%D 2016
%I International Journal of Computer Applications
Abstract

Cloud computing is a large-scale parallel and distributed computing paradigm. It is a collection of virtualized and interconnected computing resources which are managed to be one unified high performance computing power. Cloud environment being highly dynamic and heterogeneous, failures on data nodes are common. Therefore, to improve the availability and reliability of the system, the data is to be replicated to numerous suitable locations. By analyzing the content popularity, the popular data is replicated and the replicas are allocated to preferable data nodes. This phenomenon increases the data availability, speeding up of data access and minimizing cloud system bandwidth consumption. In this paper, various strategies of data replication based on content popularity are studied and how the replication can be carried out effectively by considering a few parameters like number of replicas, replica placement and replica management is analyzed.

References
  1. Mohamed-K HUSSEIN, Mohamed-H MOUSA, "A Light-weight Data Replication for Cloud Data Centers Environment", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, Issue 1, January 2014
  2. Sun, D. -W. , et al. , "Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments", Journal of Computer Science and Technology, 2012. 27(2): p. 256-272.
  3. Chang, R. -S. and H. -P. Chang, "A dynamic data replication strategy using access-weights in data grids",J. Supercomput. , 2008. 45(3): p. 277-295.
  4. N. Mansouri and A. Asadi, "Weighted Data Replication Strategy for Data Grid Considering Economic Approach", International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2014
  5. Foster I, Zhao Y, Raicu I, Lu S Y, " Cloud computing and grid computing 360-degree compared" In Proc. Grid Computing Environments Workshop, Austin, TX, USA, Nov. 12-16, 2008,pp. 1-10.
  6. Buyya R, Yeo C S, Venugopal S, Broberg J, Brandic I. "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility", Future Generation Computer Systems, 2009, 25(6): 599-616.
  7. Shvachko K, Hairong K, Radia S, Chansler R, "The Hadoop distributed File system", In Proc. the 26th Symposium on Mass Storage Systems and Technologies, Incline Village, NV, USA, May 3-7, 2010, pp. 1-10.
  8. Wang S S, Yan K Q, Wang S C. "Achieving efficient agreement within a dual-failure cloud-computing environment", Expert System with Applications, 2010, 38(1): 906-915.
  9. Armbrust M, Fox A, Grffith R, Joseph A D, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M, "A view of cloud computing", Communications of the ACM, 2010, 53(4): 50-58.
  10. Wei, Q. , et al. , "CDRM: A cost-effective dynamic replication management scheme for cloud storage cluster", IEEE International on Cluster Computing. 2010. p. 188 - 196
  11. Mell P, Grance T, "The NIST definition of cloud computing", Communications of the ACM, 2010, 53(6): 50.
  12. Ghemawat S, Gobioff H, Leung S T, "The Google File system", ACM SIGOPS Operating Systems Review, 2003, 37(5): 29-43.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Content Popularity Data Availability Replication Replica Allocation