Research on Resource Scheduling Algorithm Integrating Task Weight and Multi-QoS Constraint
To improve the utilization ratio of resources and the complete number of tasks, a kind of a new grid resource scheduling algorithm TWMQC (based on Task Weight and Multi-QoS Constraint) integrating multi-QoS constraint with task weight was proposed. The accomplished process of grid resource scheduling algorithm was transformed multi attribute constraints of resource and task, according to the parametric resource information and task information, classified different task weight sets based on the priority of tasks. Multi-QoS constraints of deadline of gridlets, bandwidth and CPU were defined, and the correlative algorithms were simulated by the GridSim toolkits. The simulation results show that algorithm TWMQC, which integrating multi-QoS constraint and tasks weight is superior in solving such kind of issues by comparing and analyzing the result data.
J. Chen and M. X. Liu, "Research on Resource Scheduling Algorithm Integrating Task Weight and Multi-QoS Constraint", Applied Mechanics and Materials, Vols. 52-54, pp. 1125-1130, 2011