A Multiagent-Based System for Scheduling Jobs in Computational Grids M. Amoon*, M. Mowafy and T. Altameem Dept. of Computer Science, RCC, King Saud University, P.O. Box: 28095 – 11437 Riyadh-Saudi Arabia. *On leave from Menofia University, Faculty of Electronic Engineering, Computer Science and Engineering Dept., EgyptAbstract:
Grid computing is a newly developed technology for complex systems with
large-scale resource sharing, wide-area communication, and
multi-institutional collaboration. Grid scheduling is an important
infrastructure in the grid computing environment. Most of the existing
grids scheduling methods focus on maximizing processor utilization
without taking grid load into consideration. This may lead to
significant inefficiencies in performance such as large job queues and
processing delays. In this paper, we propose a multiagent-based
scheduling system for computational grids with an adapted approach.
Agent technology is suitable for a computational grid because of the
dynamic, heterogeneous, and autonomous nature of the grid. The main idea
of the proposed system is a combination of a static scheduling using a
fixed scheduling algorithm and a dynamic adjustment through the
autonomous behavior of agents. The superiority of the proposed system,
in reducing the load of the grid and minimizing the response time for
executing user applications, is demonstrated by simulation experiments. Keywords: Agents, Mobile agents, Computational grids, Job scheduling.
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@ARTICLE{P1120929806, AUTHOR = {M. Amoon and M. Mowafy and T. Altameem}, TITLE = {A Multiagent-Based System for Scheduling Jobs in Computational Grids},
JOURNAL = {ICGST International Journal on Artificial Intelligence and Machine Learning,
AIML},
YEAR = {2009}, VOLUME = {9}, ISSUE ={II}, PAGES = {19--27} } |
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P1120929806
