Agent-based Negotiation for Resource Allocation in Grid

Grid technology allows the sharing of resources within groups of individuals or organizations. A job submission in grid initially requires the identification of a list of servers that meet a certain job description. After, it is necessary to select the best server from this list. None of current researches associates the choice of the server with the service delivery conditions. In order to incorporate quality to the grid service it is important to know when the job will finish and what are the cost and quality factors involved. We present here a Multi-Agent System that chooses the best place to run a grid job by making use of negotiation. The prediction of job execution is achieved with case-based reasoning technique and the negotiation flexibility is delimited by resource policies. Our approach models different forms of negotiation, identified as multi-issue, bilateral and chaining negotiations.