2231–4202  (Print)                
2249–9970  (Online)             

JPAST is biannual multidisciplinary journal starting from July 2011. Articles are invited for July 20 issue.
Intelligent Method for Resource Allocation in Grid Computing Using Multi Agent-Bhagwat M. Fulmante, Raj Singh, Abhijieet Kulshreshtha and Umashankar Sharma

Intelligent Method for Resource Allocation in Grid Computing Using Multi Agent

Bhagwat M. Fulmante1,*, Raj Singh2, Abhijieet Kulshreshtha3 and Umashankar Sharma4
1,*Research Scholar, Jodhpur National University, Jodhpur, India.
2Research Scholar, Jodhpur National University, Jodhpur, India.
3Professor, Jodhpur National University, Jodhpur, India.
4Professor RJIT, BSF, Tekanpur, Gwalior, M.P., India.



In emerging technologies resource management is the key problem. This paper describes how to reduce the search time for the best available resources and assure instant provisioning of the lately added resources to the grid thereby using Artificial Intelligence, Multi-agent and Case Base Reasoning (CBR). To overcome the overhead of resource availability in grid computing, we have identified the formula which can efficiently identify the available nodes in the grid environment. The algorithm will efficiently search the nodes available as per requirement of the request of resources and searching is faster as compare to other existing algorithms. We have designed an algorithm which will identify the nodes available and the ideal node can also utilize. Each node will be equally loaded and resource allocation will be efficiently done. This approach significantly reduces the computational time of resource allocation. The Multi–agents has been used for decision making, selection and allocation faster for improving the productivity by reducing the searching time for resource allocation in grid environment. Each agent is assigned with some important task and will be communicating with other agents as input for next activity.

Keywords: Case Base Reasoning (CBR), Grid Environment, Resource Allocation and Multi-agent.

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