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Reseach Article

Yet another Improvement in RSFT Algorithm in Mobile Grid

by V.M. Sivagami, L. Anita Elizabeth
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 4
Year of Publication: 2010
Authors: V.M. Sivagami, L. Anita Elizabeth
10.5120/907-1285

V.M. Sivagami, L. Anita Elizabeth . Yet another Improvement in RSFT Algorithm in Mobile Grid. International Journal of Computer Applications. 5, 4 ( August 2010), 7-14. DOI=10.5120/907-1285

@article{ 10.5120/907-1285,
author = { V.M. Sivagami, L. Anita Elizabeth },
title = { Yet another Improvement in RSFT Algorithm in Mobile Grid },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 5 },
number = { 4 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume5/number4/907-1285/ },
doi = { 10.5120/907-1285 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:53:21.283172+05:30
%A V.M. Sivagami
%A L. Anita Elizabeth
%T Yet another Improvement in RSFT Algorithm in Mobile Grid
%J International Journal of Computer Applications
%@ 0975-8887
%V 5
%N 4
%P 7-14
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing is the virtualization and pooling of IT resources such as compute power, storage and network capacity, and so on into a single set of shared services that can be provisioned or distributed, and then redistributed as needed. Researchers integrate the mobile devices in the grid which results in Mobile Grid. The mobile agent paradigm has attracted many attentions recently but it is still not widely used. One of the barriers is the difficulty in protecting an agent from failure because an agent is able to migrate over the network autonomously. An important technique that speeds up data access in Mobile Grid systems replicates the data in multiple locations so that a user can access it from a site in his vicinity. It has been shown that data replication not only reduces access costs, but also increases data availability in many applications. Replication of data from primary repositories to other locations can be an important optimization step to reduce the frequency of remote data access. Fault tolerance is an important property in Grid computing as the dependability of individual Grid resources may not be able to be guaranteed. The Replica Supporting Fault-Tolerance (RSFT) algorithm is formulated to support QoS-aware replica placement, balancing the load of replicas and to reduce the communication cost in mobile grid environment using bottom-up dynamic programming approach. Then, a resource selection algorithm is integrated with bottom-up dynamic programming approach to support fault tolerance in mobile grid environment by considering the dynamic characteristics of mobile devices.

References
  1. Xiong Fu, Ruchuan Wang, Yang Wang, Song Deng. “A Replica Placement Algorithm in Mobile Grid Environments”. 2009 IEEE Computer Society.
  2. SookKyong Choi, InSeock Cho, KwangSik Chung, Byungkwen Song, HeonChang Yu. “Group-based Resource Selection Algorithm Supporting Fault-tolerance in Mobile Grid”. 2007 IEEE Computer Society.
  3. Antonios Litke, Dimitrios Skoutas, Konstantinos Tserpes, Theodora Varvarigou. “Efficient task replication and management for adaptive fault tolerance in Mobile Grid environments”. 2006 Elsevier.
  4. Luciana dos S. Lima, Antonio T. A. Gomes, Artur Ziviani, Markus Endler, Luiz F. G. Soares, Bruno Schulze. “Peer-to-Peer Resource Discovery in Mobile Grids” 2005 ACM.
  5. Di Wu, Ning Tong, Keqiu Li. “Mobile Grid Routing Algorithm in Mobile Ad Hoc Networks with Obstacles” .2006 IEEE Computer Society.
  6. Li Chunlin, Li Layuan. “Energy constrained resource allocation optimization for mobile grids”. 2009 Elsevier.
  7. Wen-ying Zeng, Yue-long Zhao, Jun-wei Zeng, Wei Song. “Mobile Grid Architecture Design and Application” .2008 IEEE Computer Society.
  8. Preetam Ghosh, Nirmalya Roy and Sajal K Das “Mobility-based Cost-effective Job Scheduling in an IEEE 802.11 Mobile Grid Architecture”.
  9. Takahiro Hara, Yamadaoka, Suita. “Data Replication Issues in Mobile Ad Hoc Networks”. In Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA’05)
  10. Xueyan Tang, Jianliang Xu. “QoS-Aware Replica Placement for Content Distribution”. IEEE Transactions on parallel and distributed systems, vol. 16, no. 10, October 2005
  11. Anne Benoit, Veronika, Rehn-Sonigo, Yves Robert. “Replica Placement and Access Policies in Tree Networks”. IEEE Transactions on parallel and distributed systems, vol. 19, no. 12, December 2008
  12. Manghui Tu, Peng Li, Liangliang Xiao, I-Ling Yen, Farokh B. Bastani. “Replica Placement Algorithms for Mobile Transaction Systems”. IEEE Transactions on knowledge and data Engineering, vol. 18, no. 7, July 2006.
  13. Yun Huang, Nalini Venkatasubramanian. “Mobile Data Overlay (MDO): A Data Placement Paradigm for Mobile Applications”. International Conference on Mobile Data Management 2008 IEEE Computer Society.
  14. Paul Townend, Jie Xu. “Fault Tolerance within a Grid Environment”.
  15. Rajwinder Singh, A.K.Sarje, Navdeep Kaur, Ramandeep Kaur. “Fault Tolerance Mechanism in Secure Mobile Agent Platform System”. 2009 IEEE International Advance Computing Conference (IACC 2009)
Index Terms

Computer Science
Information Sciences

Keywords

Mobile grid Mobile devices Replication QoS support Fault-tolerance Load balancing RSFT Algorithm