A Grid resource brokering strategy based on resource and network performance in Grid
A Grid resource brokering strategy based on resource and network performance in Grid
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DOI：
10.1016/j.future.2011.09.002
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
Valliyammai Chinnaiah;T. Somasundaram
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文献类型：
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作者：
Valliyammai Chinnaiah;T. Somasundaram
为了在网格环境中实现高性能的分布式数据访问和计算，对资源和网络性能的监控是至关重要的。我们提出的网格网络监控架构的网格调度器建模。提出的网格网络监测检索网络度量使用传感器作为网络监测工具。通过迁移移动的代理来启动传感器，以测量来自资源代理的所有网格资源中的网络度量。由监控工具提供的原始数据用于通过内部成本函数集生成网格的高级视图。网络成本函数是通过结合各种网络指标，如带宽，往返时间，抖动和分组丢失来衡量网络性能。本文提出了网格资源代理策略，分析了网络的度量沿着的资源度量的网格资源提交作业的选择和所提出的方法是集成与关怀资源代理（CRB）的作业提交。实验结果表明，该算法能最大限度地缩短作业完成时间。仿真结果也证明了所提出的策略可以完成更多的任务，从而更好地利用网格资源。
To achieve high performance distributed data access and computing in Grid environment, monitoring of resource and network performance is vital. Our proposed Grid network monitoring architecture is modeled by the Grid scheduler. The proposed Grid network monitoring retrieves network metrics using sensors as network monitoring tools. The mobile agents are migrated to start the sensors to measure the network metrics in all Grid Resources from the Resource Broker. The raw data provided by the monitoring tools is used to produce a high level view of the Grid through the set of internal cost functions. The network cost function is formed by combining various network metrics such as bandwidth, Round Trip Time, jitter and packet loss to measure the network performance. This paper presents the Grid Resource Brokering strategy which analyzes the network metrics along with the resource metrics for the selection of the Grid resource to submit the job and the proposed approach is integrated with CARE Resource Broker (CRB) for job submission. The experimental results are evident for the minimization of job completion time for the submitted job. The simulation results also prove that the more number of jobs are completed with the proposed strategy which influences the better utilization of the Grid resources.