A Scheduling Algorithm For Grid Environment Based on Multi Agent Systems And Inspired by Cuckoo Lifestyle

Grid environment has provided abilities of sharing,selection and union of the heterogeneous resources distributedgeographically. There are many issues and problems in theseenvironments; one of the most important of them is the job andthe resource scheduling. In the dynamic environments,performance and optimality can be achieved just by the use of arobust scheduling algorithm. The method used in this study isbased on Multi Agent systems. The agent learning is inspired byCuckoo’s life style and its nesting style. This method is very fastand also can make balance in workload between resources well,which leads to increase of system performance.