A Unified Resource Mapping Strategy in Computational Grid Environments

The management of resources and scheduling computations in a grid environment is a complex undertaking, mainly due to resource抯 geographic distribution, heterogeneity, distributed ownership with different policies and priorities, varying loads, reliability, and availability conditions. A unified resource mapping strategy in computational grid environments is presented, which considers the input data repositories and QoS of tasks to mapping a set of independent tasks (meta-task) to resources. The repetitive mapping algorithm is more suitable for the dynamic adaptability and domain autonomy in the grid. The benefit function heuristic adopted in the algorithm can assure the QoS of tasks more effectively.