针对资源预留过程中价格对市场竞争力的影响导致收益不确定性问题,提出一种可量化分析价格、资源竞争力以及收益三者关系的协同预留策略。该策略基于本地任务的真实相关统计特性,在有效保障网格任务QoS与本地任务QoS基础上,通过价格调整来平衡资源提供方的市场竞争力与收益之间的冲突。理论分析给出了预留策略的有效性证明和预留算法,仿真实验采用真实网格系统中任务负载信息作为实验负载,并在模拟网格系统中对预留策略的性能表现进行了检验。实验结果表明,该策略在均衡资源负载、平衡资源节点相对收益率以及保障任务QoS方面的性能表现显著优于传统的预留策略。
Profit of resource provider is always uncertain because price of resource has important impact on market competitiveness. A co-reservation strategy was presented, which could be used to quantitative analysis the relationship of reservation price, resource competitiveness and profit. Based on real statistical characteristic of local tasks, the model provids the grid job QoS guarantee and local job QoS guarantee, which balances the conflict between market competitiveness and profit of resource provider by efficient price adjustment. The validity of the model and its algorithm were presented theoretically. The performance of the proposed strategy was simulated in a grid simulation system using the real task load of the practical grid system. The results show that the proposed co-reservation strategy outperforms traditional reservation strategy in terms of balancing resource load, profit rate of resource node and QoS guarantee.