Scheduling Optimization in Grid with VO Stakeholders’ Preferences

The problem of intelligent Grid computing and job-flow scheduling with regard to preferences given by various groups of virtual organization (VO) stakeholders (such as users, resource owners and administrators) is studied. A specific flexible resources share algorithm is proposed for job-flow scheduling which enables to achive a balance between the VO stakeholders’ conflicting preferences and policies. This approach provides greater VO scheduling fairness, improves the overall quality of service and resource load efficiency. Two different metrics are introduced to find a scheduling solution balanced between VO stakeholders. Experimental results prove that the cyclic scheduling scheme allows establishing efficient cooperation between different VO stakeholders even if their goals and preferences are contradictory.