Dynamic Adaptation of Parallelism Level in Data Transfer Scheduling
Dynamic Adaptation of Parallelism Level in Data Transfer Scheduling
复制标题
数据传输调度中并行度的动态适应
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
T. Kosar
中科院分区：
文献类型：
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作者：
Mehmet Balman;T. Kosar
讨论了广域数据传输中的动态参数调整问题，以达到有效利用网络容量和优化端到端应用性能的目的。研究了并行传输流和并发数据传输作业对性能的影响。提出了一种自适应方法来调整分布式环境中数据放置作业的并行度。自适应数据调度包括动态设置数据放置作业的参数。该方法不依赖于任何外部配置文件来运行以适应不断变化的网络条件。
We discuss dynamic parameter tuning in wide-area data transfers for efficient utilization of available network capacity and optimized end-to-end application performance.Impacts of parallel TCP streams as well as concurrent data transfer jobs running simultaneously have been studied.We present an adaptive approach for tuning parallelism level of data placement jobs in distributed environments.The adaptive data scheduling includes dynamically setting parameters of data placement jobs.The proposed methodology operates without depending on any external profiles to adapt to changing network conditions.