Abstract

AbstractComputational grids generally used for scientific applications are fully utilized only at certain times. During that period, shortage of grid resources occurs and causes delay in execution of jobs. In such situation the grid jobs can be migrated to private cloud for execution. On the other hand, the private cloud when reaches its peak load, can utilize the grid if the grid resources are idle thereby private cloud gain more resources dynamically. We propose architecture to integrate grid and private cloud using an integrator component along with a storage cluster, which is responsible for managing resources and execution of jobs over grid and private cloud when any of these lack resources. The architecture supports dynamic clustering over the virtual resources and formation of Virtual Organization in integrated environmentKeywordsGrid Cloud integrationVirtual Machine on gridGrid Storage clusterGrid Resource expansionCloud burst

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