Parallel resource co-allocation for the computational grid

Resource co-allocation is one of the crucial problems affecting the utility of the grid. Because the numbers of the application tasks and amounts of required resources are enormous and quick responses to the requirements of users are necessary in the real grid environment, real-time resource co-allocation may be large-scale. A parallel resource co-allocation algorithm based on the framework for mapping with resource co-allocation is proposed in this paper. Through the result of experiments, it is concluded that the parallel method reduces the execution time of the resource co-allocation algorithm significantly, and makes the overall response time to the end-users small.