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A Survey of Dynamic Replication Strategies in Distributed Systems

by Naveen Dogra, Sarbjeet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 11
Year of Publication: 2015
Authors: Naveen Dogra, Sarbjeet Singh
10.5120/19357-9898

Naveen Dogra, Sarbjeet Singh . A Survey of Dynamic Replication Strategies in Distributed Systems. International Journal of Computer Applications. 110, 11 ( January 2015), 1-4. DOI=10.5120/19357-9898

@article{ 10.5120/19357-9898,
author = { Naveen Dogra, Sarbjeet Singh },
title = { A Survey of Dynamic Replication Strategies in Distributed Systems },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number11/19357-9898/ },
doi = { 10.5120/19357-9898 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:37.807404+05:30
%A Naveen Dogra
%A Sarbjeet Singh
%T A Survey of Dynamic Replication Strategies in Distributed Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 11
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world, effective management and quick retrieval of data is an important issue. It is very challenging task to provide maximum data availability and fault tolerant data access in the distributed systems as it scales over different geographical areas. To handle this issue data has to be replicated on large number of different sites. Data replication is a practical and effective method to enhance the performance and reliability in distributed systems by making multiple copies of same data. In this paper a study is conducted to examine already proposed data replication techniques in distributed systems and we found that replication techniques are designed based on various parameters such as availability, scalability, bandwidth consumption, access time and fault tolerance etc. A comparison has been done between different replication strategies based on different parameters. The paper also discusses future work in the area of replication in the distributed systems.

References
  1. Ming Tang, Bu-Sung Lee, Xueyan Tang and Chai-Kiat Yeo, "The impact of data replication on job scheduling performance in the Data Grid" , Future Generation Computer Systems, vol. 22, pp. 254– 268, 2006.
  2. N. Mansouri and G. H. Dastghaibyfard, "A dynamic replica management strategy in data grid", Journal of Network and Computer Applications, vol. 35, pp. 1297–1303, 2012.
  3. M. K. Hussein and M. H. Mousa, " A Light-weight Data Replication for Cloud Data Centers Environment", in International Journal of Engineering and Innovative Technology, Vol. 1, no. 6, pp. 169-175, 2012.
  4. A. S. Tanenbaum and M. V. Steen. Distributed systems principle and paradigms. PHI, 2010.
  5. Amjad, T. , Sher, M. , & Daud, A. (2012). A survey of dynamic replication strategies for improving data availability in data grids. Future Generation Computer Systems, 28(2), 337-349.
  6. K. Shvachko et al. , "The Hadoop Distributed File System", in Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies, IEEE Computer Society, pp. 1-10, 2010.
  7. A. Dogan "A study on performance of dynamic file replication algorithms for real-time file access in Data Grids", Future Generation Computer Systems, vol. 25, no. 8, pp. 829-839, 2009.
  8. Q. Wei et al. , "CDRM: A cost-effective dynamic replication management scheme for cloud storage cluster", in IEEE International on Cluster Computing, pp. 188 - 196, 2010.
  9. D. W. Sun, G. R. Chang et al. , "Modeling a dynamic data replication strategy to increase system availability in cloud computing environments", Journal of Computer Science And Technology, vol. 27,no. 2,pp. 256-272, 2012.
  10. J. M. Perez et al. , "Branch replication scheme: A new model for data replication in large scale data grids", Future Generation Computer Systems, vol. 26, pp. 12-20, 2010.
  11. K. Ranganathan, I. Foster, "Simulation studies of computation and data scheduling algorithms for Data Grids", Journal of Grid Computing, pp. 53-62, 2003.
  12. L. Guy, P. Kunszt, E. Laure, H. Stockinger, K. Stockinger, "Replica Management in Data Grids" Technical Report, GF5 Working Draft, 2002.
  13. H. Stockinger, A. Samar, B. Allcock, I. Foster, K. Holtman, B. Tierney, "File and object replication in data grids", in 10th IEEE Symposium on High Performance and Distributed Computing, pp. 305– 314, 2001.
  14. B. Allcock, et al. "Secure, efficient data transport and replica management for high performance data intensive computing", IEEE Mass Storage Conference, 2001.
  15. A. L. Chervenak, N. Palavalli, S. Bharathi, C. Kesselman, R. Schwartzkopf, "Performance and scalability of a replica location service", in High Performance Distributed Computing Conference, HPDC-13, Honolulu, HI, pp. 182-191, 2004.
  16. K. Ranganathan, I. Foster, " Identifying dynamic replication strategies for a high performance data grid", in Proceeding of the second International Grid Computing Workshop, pp. 75-86, 2001.
  17. K. Ranganathan, A. Lamnitchi, I. Foster, " Improving data availability through dynamic model driven replication in large peer-to-peer communities", in CCGrid,p. 376, 2002
  18. S. Park, J. Kim, Y. Ko, W. Yoon, Dynamic data replication strategy based on internet hierarchy BHR, Heidelberg: Lecture notes in computer science publisher, Springer-Verlag; pp. 838– 846, 2004.
  19. P. Kunszt, E. Laure, H. Stockinger, K. Stockinger, "File-based replica management", Future Generation Computer Systems, vol. 22, no. 1, pp. 115-123, 2005.
  20. H. Jin, T. Cortes, R. Buyya, "High Performance Mass Storage and Parallel I/O: Technologies and Applications", IEEE Press and Wiley, 2002.
  21. J. M. Perez, F. Garcia, J. Carretero, A. Calderon, J. Fernandez, "A Parallel I/O Middleware to Integrate Heterogeneous Storage Resources on Grids (Grid Computing: First European Across Grids Conference, Santiago de Compostela, Spain, February 13-14, 2004), in: Lecture Notes in Computer Science Series, vol. 2970, pp. 124-131,2004.
  22. F. Garcia-Carballeira, J. Carretero, A. Calderon, J. D. Garcia, L. M. Sanchez, "A global and parallel file systems for grids", Future Generation Computer Systems, vol. 23, no 1, pp. 116-122, 2007.
  23. H. Zhong, Z. Zhang, X. Zhang. "A dynamic replica management strategy based on Data Grid", in Ninth International Conference on Grid and Cloud Computing, pp. 18-23, 2010.
  24. M. Shorfuzzaman, P. Graham, R. Eskicioglu , "popularity driven dynamic replica placement in hierarchical data grid", in International conference on parallel and distributed computing, pp. 524-531,2008.
  25. M. Shorfuzzaman, P. Graham, R. Eskicioglu, "Adaptive popularity-driven replica placement in hierarchical data grids", Journal of Supercomputers, vol. 51, pp. 374-92, 2010.
  26. M. Bsoul, A. Khasawneh, E. E. Abdallah, Y. Kilani, "Enhanced fast spread replication strategy for data grid", Journal of Network and Compute Applications, vol. 34,pp. 575-80, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Distributed Computing Data Replication Data Availability Reliability Bandwidth Consumption.

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