Grid computing is a form of distributed computing which is used to solve the large-scale scientific problems present in the grid networks. It is the technology of dividing computer networks with different and heterogeneous resources based on distributed computing. Generally, a grid network can be considered as a chain of several big branches, different kinds of microprocessors, thousands of Personal computers and workstations all over the globe. The main aim of grid computing is to apply available computing resources for dense calculations via sites that are distributed geographically without difficulty. Resource scheduling and Resource management play a key role in achieving high utilization of resources in grid computing environments. The allocation of distributed computational resources to user applications is one of the most complicated and difficult tasks in the Grid system. The problem of allocating resources in Grid scheduling requires the definition of a model that allows local and external schedulers to communicate in order to achieve efficient management of the resources themselves. This paper presents a survey of some of the most widely known and recently proposed mechanisms in Grid scheduling algorithms.

Grid Computing, Scheduling, Resource allocation

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