在格子环境与限制处理资源合作分配的问题到预算和截止时间,一个新奇合作分配模型基于虚拟资源代理人被建议。模型通过三方面的合作分配机制优化了资源推广和价格计划,并且使用了排队系统为为格子应用程序提供量的截止时间保证为格子资源的工作建模。模型的有效性和答案理论上被介绍。广泛的模拟被进行由以截止时间违背率,资源利益和资源利用与另外的合作分配政策作比较检验有效性和模型的表演。试验性的结果证明与三条典型合作分配政策相比,建议模型能与限制为格子应用把截止时间违背率归结为大约 3.5% 到预算和截止时间。另外,系统好处能被大约 30% 与那些使用得广泛地的合作分配政策相比增加。
To address the issue of resource co-allocation with constraints to budget and deadline in grid environments, a novel co-allocation model based on virtual resource agent was proposed. The model optimized resources deployment and price scheme through a three-side co-allocation mechanism, and applied queuing system to model the work of grid resources for providing quantitative deadline guarantees for grid applications. The validity and solutions of the model were presented theoretically. Extensive simulations were conducted to examine the effectiveness and the performance of the model by comparing with other co-allocation policies in terms of deadline violation rate, resource benefit and resource utilization. Experimental results show that compared with the three typical co-allocation policies, the proposed model can reduce the deadline violation rate to about 3.5% for the grid applications with constraints to budget and deadline. Also, the system benefits can be increased by about 30% compared with the those widely-used co-allocation policies.