Random load oriented pricing strategy for resource reservation in computational grid
一种面向随机性负载的计算网格资源预留定价策略

Traditional reservation mechanisms often have the negative influences on the QoS of local tasks. To solve this problem, a resource reservation mechanism based on the reservation income and loss balance was proposed. First, according to the local task correlation statistical property, using the theory of probability method, the sum of the local task execution time probability distribution function in a period was given and proved. Then, when computing resources providers' utility, the loss brought by the local task was considered and the lowest resources price was resolved. The experimental results indicate that the proposed mechanism can safeguard local tasks effectively and effectively raise resource utilization and reduce task rejection rate.