Adjacent Selection Method for Load Balancing in Distributed Network by Artificial Intelligence

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Provided by: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE)
Topic: Enterprise Software
Format: PDF
Distributed computing and grid computing used to execute parallel and distributed applications, which require important quantity of computing resources, moreover in the type of computational processing resources or data storage. In a cluster, a number of heterogeneous nodes contain, by load balancing approach the response time for parallel or distributed systems are minimized. The workload for all systems in the cluster cannot be uniformly distributed, but has to be in use as a significant parameter for the load balancing strategy. A centralized load balancer would necessitate a global load balancer that will be overwhelmed with communication messages in a large clustered.
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