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A New Architecture for Autonomous Grid

by Saket Kumar Mishra, Shekhar Pratap Sinha, Chinmoy Kar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 6
Year of Publication: 2013
Authors: Saket Kumar Mishra, Shekhar Pratap Sinha, Chinmoy Kar
10.5120/12745-9666

Saket Kumar Mishra, Shekhar Pratap Sinha, Chinmoy Kar . A New Architecture for Autonomous Grid. International Journal of Computer Applications. 73, 6 ( July 2013), 20-25. DOI=10.5120/12745-9666

@article{ 10.5120/12745-9666,
author = { Saket Kumar Mishra, Shekhar Pratap Sinha, Chinmoy Kar },
title = { A New Architecture for Autonomous Grid },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 6 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number6/12745-9666/ },
doi = { 10.5120/12745-9666 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:21.296835+05:30
%A Saket Kumar Mishra
%A Shekhar Pratap Sinha
%A Chinmoy Kar
%T A New Architecture for Autonomous Grid
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 6
%P 20-25
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Autonomous systems are inspired by biologically systems which their goal is to manage themselves with minimal involvement of managers. Autonomous is a concept that brings together many fields of computing with the purpose of creating any systems that self-manage. Autonomous strives to make future systems even more receptive, resilient and responsive. Autonomous is suitable for a computational grid because of its dynamic and autonomous nature. Environment of computational grid is inherently large, complex, heterogeneous and dynamic and its state changes over time, so continues monitoring by using Autonomous putting more of the burden on the computers and less on the system administrators. This paper proposed an architecture which explain how Autonomous works on gird environment and algorithms which increase reliability computational grid.

References
  1. Chinmoy Kar, V. K. Rakesh, Tapas Samanta and S. Banerjee, 2012. A New Approach to Grid Scheduling using Random Weighted Genetic Algorithm with Fault Tolerance Strategy. International Journal of Computer Applications (0975–8887), Volume 48- No. 23.
  2. Ebrahim Aghaei, Mohammad Saniee Abadeh, Mohammad Hossein Yektaie, , 2012. An adaptive sheduling system for computational grid using autonomic computing. International Journal of Computer Application(0975-888),volume 47-No. 13.
  3. Nandagopal, M. & Dr. Uthariaraj, V. R. 2010. Fault tolerant scheduling strategy for computational grid environment. International Journal of Engineering Science and Technology. Vol. 2(9), 4361-4372.
  4. J. M. Schopf, 2003. Ten actions when grid scheduling ,in Grid resource management Management. State of theArt and Future Trends, first ed. , Springer, pp. 15-23.
  5. M. Parashar, H. Liu and et al. , 2006. AutoMate:Enabling Autonomic Applications on the Grid. ClusterComputing, vol. 9, no. 2, pp. 161-174.
  6. IBM White Paper, 2005. An Architectural Blueprint for Autonomic Computing. 3th ed. , IBM Corporation.
  7. Garg, R, Singh, A. K. May, 2011. Multi-objective optimization to workflow grid scheduling using reference point based evolutionary algorithm, International Journal of Computer Application (0975-8887), Vol. 2(6).
Index Terms

Computer Science
Information Sciences

Keywords

Autonomous system Grid scheduling

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