Grid_JQA: A QoS guided scheduling algorithm for grid computing

The Grid is an emerging technology for enabling resource sharing and coordinated problem solving in dynamic multi-institutional virtual organizations. The resource matching problem in the Grid involves assigning resources to tasks in order to satisfy task requirements and resource policies. This contribution presents algorithms, methods, and software for a Grid resource manager, responsible for resource brokering and scheduling in Grids. The broker selects computing resources based on actual job requirements and a number of criteria identifying the available resources, with the aim to minimize the turnaround time for the individual application. In pervious work, we proposed Grid-JQA [8] [9]. In this work we propose an aggregation formula for the QoS parameters. The formula is a unit less combination of the parameters together with weighting factors. It is shown that the formula needs to put into a threshold consideration. A discussion on the threshold and its level is also provided. The paper introduces an optimum but not practical solution for matching. The optimum method is considered for comparing other practical solutions. Main features of the resource manager include resource selection based on active database rules and environmental conditions and a basic adaptation facility. The paper is finalized by the results obtained from simulation and a comparison study.