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Based on these definitions, we state that the two main targets of the load balancing protocol is to distribute the excessive loads of HIGH loaded nodes and group of nodes which

Geographical load balancing is known to provide internet- scale system operators significant energy cost savings, at the expense of small increases in network delay due to the fact

To resolve the problem of balancing the load on the cloud, we have divided cloud into several partitions in which main server acts as a Main controller and other

Load balancing algorithms strive to achieve a balanced workload among available processors while minimizing the communication overhead for the additional data required for

The difference between time when job arrives to the system and time when job gets processed by system is called Mean response time (MRT), is improved by load balancing.

If this happens for more than one process then there should be some mechanism that helps process to precede further .Here comes the IDEA of LOAD BALANCING using PROCESS

In this paper we analyze the scalability of a number of load balancing algorithms which can be applied to problems that have the following characteristics : the work done by a

3.4 Finding a Heuristic for Static Load Balancing This subsection analyses the statistical best, average and worst case simulation distributions according to an initial processor