Prioritization of Replica for Replica Replacement in Data Grid
S. Pandiaraj1, T. Sudalai Muthu2
1S. Pandiaraj, Research Scholar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
2T. Sudalai Muthu, Associate Professor, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 245-248 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11460275S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Datagrid provides storage facility to data grid user to store and process huge amount of data. Replication plays a major role in optimizing the Datagrid. The replacement of replica in datagrid is to be optimal to improve the performance of the Datagrid. The replacement of replica is decided based on the priority of the replica in future. The priority of the replica is based on its importance in the near future. In this paper, an approach is proposed to evaluate the priority of the replica by considering the importance of that replica in the near future. The proposed approach is evaluating the priority using the rubrics on the parameters; Frequency of access (F), Number of Access (N), and Recent access (R). The rubrics on each parameter are constructed empirically. The priority of the replica (PR) is determined by using the rubrics values and weights. The proposed approach is simulated in the Optor Sim simulator. The simulation result shows that the proposed approach yielded the Hit Rate as 95% consistently performed well on various file sizes.
Keywords: Replica Replacement Algorithms, Data Replications, Data Grid.
Scope of the Article: Grid Networking/ Computing