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Grid computing has recently become one of the most important research topics in the field of computing. The Grid paradigm has gained popularity due to its capability to offer easier access to geographically distributed resources operating across multiple administrative domains. The grid environment is considered as a combination of dynamic,heterogeneous and shared resources in order to provide faster and reliable access to the Grid resources. For ecient resource management in Grid, the resource overloading must be prevented which can be obtained by proper Load Balancing and Job Migration mechanisms. In this scenario, dynamic and decentralized Load Balancing considers all the factors pertaining to the characteristics of the Grid computing environment. Dynamic load-balancing algorithms attempt to use the runtime state information to make more informative decisions in sharing the system load and in decentralization, algorithm is executed by all nodes in the system and the responsibility of Load Balancing is shared among all the nodes in the same pool. For this purpose, in this research work, an extensive survey of the existing Load Balancing and Job Migration techniques has been done.

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Dr. Neeraj joined CSE Department of Jaypee University, Guna, M.P., India, in 2010 as Assistant Professor in the department. He has over ten years experience of teaching, research as well as industrial experience. He has Ph.D. in CSE with specialization in Grid Computing (2014) and M.E. in CSE (2008) from Thapar University and B.E. in CSE (2006).

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