An Intelligent Genetic Algorithm for Effective Grid Resource Utilization

Scientific world requires high performance computing to solve complex problems. Grid technologies emerged for satisfying scientific computing with more computing power. Grid is a set of resources distributed over wide area networks to support large scale distributed applications. A software agent is software that acts or has power or authority to act or represent another by which something is done or caused. Intelligent agent is software entity which functions continuously and autonomously in a particular environment. A Genetic algorithm is a search heuristic that memics the process of natural evolution. The heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to larger class of evolutionary algorithms. The paper proposes intelligent agent based on Genetic algorithm to achieve better resource utilization in Grid environment, and tested with different sizes of Job requests and analysis of results has shown better resource utilization.