Literature survey on various scheduling approaches in grid computing environment

Grid computing, was developed by computer scientists in the mid 1990's based on ease of use and access geographically distributed resources which are dynamic and heterogeneous for solving difficult problems. These distributed resources are owned by different organizations. Grid computing provides a framework for parallel/distributed computing. For developing a grid, low-level services (secure access management of resources) and high-level services (application development and scheduling) should be developed. Dynamic nature of resources in grid architecture is the reason for varied load on resources. So for better management of resources, the scheduling concept comes into account. Scheduling means order of jobs which satisfy the metrics like user's satisfaction and completion time & so on. Better scheduling policy in grid computing improves performance, cost of computation, load balancing and increase reliability and availability of resources. This paper presents various approaches for allocation of resources in grid computing environment. This paper ends up with summary of some existing scheduling approaches by taking into account various metrics used to verify usefulness of existing technique.