基于信任模型的数据密集型网格任务调度算法研究
On Data-intensive Task Scheduling Algorithm in the Grid Environment Based on Trust Model
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摘要: 针对数据密集型应用的调度问题，提出一种新的调度算法，在选择文件传输节点的同时考虑网络带宽和节点的信任度．针对传输文件时带来的传输节点负载不均的现象，采用基于sufferage思想的算法均衡负载．最后，通过实验证明该算法优于传统的Min-Min算法．Abstract: For the scheduling problems in data-intensive application,a new scheduling algorithm is proposed,which considers both the bandwidth and the trust level of the source sites when choosing the grid nodes.As for the unbalancing problems among many sites when transferring files,an algorithm based on the idea of sufferage is addressed to balance the download loading.The simulation experiment indicates that this algorithm is better than the traditional Min-Min algorithm.
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