An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment
P.Sunil Gavaskar1
Section:Research Paper, Product Type: Journal Paper
Volume-4 ,
Issue-4 , Page no. 18-24, Apr-2016
Online published on Apr 27, 2016
Copyright © P.Sunil Gavaskar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: P.Sunil Gavaskar , “An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.18-24, 2016.
MLA Style Citation: P.Sunil Gavaskar "An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment." International Journal of Computer Sciences and Engineering 4.4 (2016): 18-24.
APA Style Citation: P.Sunil Gavaskar , (2016). An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment. International Journal of Computer Sciences and Engineering, 4(4), 18-24.
BibTex Style Citation:
@article{Gavaskar_2016,
author = {P.Sunil Gavaskar },
title = {An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {18-24},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=849},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=849
TI - An Adaptive Replication Approach for Relocation Services in Data Intensive Grid Environment
T2 - International Journal of Computer Sciences and Engineering
AU - P.Sunil Gavaskar
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 18-24
IS - 4
VL - 4
SN - 2347-2693
ER -
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Abstract
In the Data Intensive grid environment, researchers always try to avoid failures by improving the data availability with mechanism called replication. In this paper, data availability which is shown works towards efficient way of applying Object replication and its object replicas availability prediction and thus users are able to predict its dynamic replication status that decides replicas management and its performance in data grid. The proposed way of Availability prediction gives status of data availability at nodes and thus it gives data reliability information to the scheduler, in such manner our proposed scheme helps to make better jobs execution decisions with minimum jobs execution time and band width by considering account of some of the objective functions involved while data access. It is an eminent method to deal with object replicas utilization that can be improved jobs execution performance, and proposed method is an auspicious improvement over performance of replicas utilization without failures in data grid environment.
Key-Words / Index Term
Replication, Fault tolerance, Data grid, Dynamic nature of data grid, tree-based replica location service, restrictions on security issues in grid, Resource utilization in data grid
References
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