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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Advance Reservations and Scheduling for Bulk Transfers in Research Networks
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Advance Reservations and Scheduling for Bulk Transfers in Research Networks

机译：研究网络中的批量转移的提前预订和计划

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摘要

Data-intensive e-science collaborations often require the transfer of large files with predictable performance. To meet this need, we design novel admission control (AC) and scheduling algorithms for bulk data transfer in research networks for e-science. Due to their small sizes, the research networks can afford a centralized resource management platform. In our design, each bulk transfer job request, which can be made in advance to the central network controller, specifies a start time and an end time. If admitted, the network guarantees to complete the transfer before the end time. However, there is flexibility in how the actual transfer is carried out, that is, in the bandwidth assignment on each allowed path of the job on each time interval, and it is up to the scheduling algorithm to decide this. To improve the network resource utilization or lower the job rejection ratio, the network controller solves optimization problems in making AC and scheduling decisions. Our design combines the following elements into a cohesive optimization-based framework: advance reservations, multipath routing, and bandwidth reassignment via periodic reoptimization. We evaluate our algorithm in terms of both network efficiency and the performance level of individual transfer. We also evaluate the feasibility of our scheme by studying the algorithm execution time.
机译：数据密集型电子科学合作通常需要传输性能可预测的大文件。为了满足这一需求，我们设计了新颖的准入控制（AC）和调度算法，用于电子科学研究网络中的批量数据传输。由于规模小，研究网络可以提供集中的资源管理平台。在我们的设计中，可以预先向中央网络控制器提出的每个批量传输作业请求都指定了开始时间和结束时间。如果被接纳，则网络保证在结束时间之前完成传输。但是，如何进行实际的传输（即在每个时间间隔内作业的每个允许路径上的带宽分配）具有灵活性，这取决于调度算法来决定。为了提高网络资源利用率或降低工作拒绝率，网络控制器解决了制定AC和调度决策时的优化问题。我们的设计将以下元素组合到一个基于聚合优化的框架中：预先保留，多路径路由和通过定期重新优化的带宽重新分配。我们根据网络效率和单个传输的性能水平评估我们的算法。我们还通过研究算法执行时间来评估该方案的可行性。

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