An Agent-Based Approach for Dynamic Adjustment of Scheduled Jobs in Computational Grids
Amoon, Mohammed . 2010
Grid computing is a newly developed technology for complex systems with large-scale resource
sharing, widearea communication, and multiinstitutional 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 mul
tiagentbased scheduling system for computational grids with a new 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 sys
tem, in reducing the load of the grid and minimizing the response time for executing user applications, is
demonstrated by simulation experiments.
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