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Efficient inter-datacenter bulk transfers with mixed completion time objectives

机译:具有混合完成时间目标的高效数据中心间批量传输

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Bulk transfers from one to multiple datacenters can have many different completion time objectives ranging from quickly replicating some k copies to minimizing the time by which the last destination receives a full replica. We design an SDN-style wide-area traffic scheduler that optimizes different completion time objectives for various requests. The scheduler builds, for each bulk transfer, one or more multicast forwarding trees which preferentially use lightly loaded network links. Multiple multicast trees are used per bulk transfer to insulate destinations that have higher available bandwidth and can hence finish quickly from congested destinations. These decisions-how many trees to construct and which receivers to serve using a given tree-result from an optimization problem that minimizes a weighted sum of transfers' completion time objectives and their bandwidth consumption. Results from simulations and emulations on Mininet show that our scheduler, Iris, can improve different completion time objectives by about 2.5 x . (C) 2019 Elsevier B.V. All rights reserved.
机译:从一个数据中心到多个数据中心的批量传输可能具有许多不同的完成时间目标,从快速复制几千个副本到最小化最后一个目的地接收完整副本的时间。我们设计了SDN样式的广域流量调度程序,该调度程序针对各种请求优化了不同的完成时间目标。调度程序为每个批量传输构建一个或多个优先使用轻负载网络链接的多播转发树。每次批量传输使用多个多播树来隔离具有较高可用带宽的目标,因此可以从拥塞的目标快速完成。这些决定(使用给定的树来构造多少棵树以及使用给定的树服务的接收器)来自优化问题,该优化问题使传输完成时间目标及其带宽消耗的加权总和最小化。 Mininet上的仿真和仿真结果表明,我们的调度程序Iris可以将不同的完成时间目标提高约2.5倍。 (C)2019 Elsevier B.V.保留所有权利。

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