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Grid computing has emerged as a viable method to solve computational and data-intensive problems which are executable in various domains from business computing to scientific research. However, grid environments are largely heterogeneous, distributed and dynamic, all of which increase the complexities involved in developing grid applications. Several software has been developed to provide programming environments hiding these complexities and also simplifying grid application development. Since agent technologies are more than a ten year study and also because of the flexibility and the complexity of the grid software infrastructure, multi-agent systems are one of the ways to overcome the challenges in the grid development.
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