QoS-Aware GASA: A QoS-Aware Grid Resource Selection Optimization Algorithm

In order to provide high quality of service (QoS), reasonable scheduling and resource allocation are needed when a great deal of tasks request grid resources. By quantifying some important properties of Grid QoS and maximizing cost-performance of the system, a grid resource selection optimization algorithm is provided based on simulated annealing genetic algorithm (SAGA) : QoS-aware SAGA, and the flow of the algorithm is introduced. Finally, this algorithm is proved to be valid through a simulation experiment.