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A Comprehensive Optimization Model Based on Time and Cost Constraints for Resource Selection in Data Grid

机译:基于时间和成本约束的数据网格资源选择综合优化模型

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Parallel data transmission based on multi-copy can enhance transmission speed and ensure the QoS of data grid greatly. The status of network and replica node, the distance of replica node, the time and bandwidth of service requester will directly affect service cost. How to take the above factors into account, so as to provide basis for node selection and bandwidth allocation, guarantee the time constraint of service requestor and optimize service cost is a key problem need to be solved urgently. Based on ‘0-1’ integer programming and linear programming methods, respectively, a minimum transfer time model, minimum cost model and comprehensive optimization model are proposed to solve the above problem. Simulative experiments show that the models are correct and effective.
机译:基于多副本的并行数据传输可以提高传输速度,并大大保证数据网格的QoS。网络和副本节点的状态,副本节点的距离,服务请求者的时间和带宽将直接影响服务成本。如何综合考虑以上因素,为节点选择和带宽分配提供依据,保证服务请求者的时间约束,优化服务成本,是亟待解决的关键问题。分别基于“ 0-1”整数规划和线性规划方法,提出了最小转移时间模型,最小成本模型和综合优化模型来解决上述问题。仿真实验表明该模型是正确有效的。

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