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Inspecting the performance of packet schedulers over a large-scale OpenFlow-based network

机译:在大型基于OpenFlow的网络上检查数据包调度程序的性能

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Owing to the demand of high performance computing applications, network throughput becomes a critical bottleneck when data are stored in high I/O performance storage devices, such as non-volatile memory, solid-state disk, and RAM-based disk. To increase network throughput, a brand new technology called Software-defined networking (SDN) has been proposed for high bandwidth applications. Many data centers therefore upgrade their network infrastructures to support the SDN technology. However, the best performance of the SDN technology only can be gained when the SDN system employs an appropriate packet-flow scheduler to serve the applications in the SDN environment. Finding the best settings of the packet-flow scheduler in the SDN environment, this study constructs a large-scale test-bed to simulate the packet flow in the SDN environment. In the test-bed, we investigate the capability of a packet-flow scheduler in the SDN controller while the scheduler employs different scheduling algorithms under different network workloads. The experimental results suggest what kind of scheduling algorithms should be utilized under the network workloads.
机译:由于高性能计算应用程序的需求,当数据存储在诸如非易失性存储器,固态磁盘和基于RAM的磁盘等高性能的I / O性能存储设备中时,网络吞吐量成为关键的瓶颈。为了提高网络吞吐量,已提出了一种针对高带宽应用的称为软件定义网络(SDN)的全新技术。因此,许多数据中心升级其网络基础架构以支持SDN技术。但是,只有在SDN系统采用适当的数据包流调度程序为SDN环境中的应用程序提供服务时,才能获得SDN技术的最佳性能。为了找到SDN环境中数据包流调度程序的最佳设置,本研究构建了一个大型测试平台来模拟SDN环境中的数据包流。在测试台中,我们研究了SDN控制器中数据包流调度程序的功能,同时该调度程序在不同的网络工作负载下采用了不同的调度算法。实验结果表明在网络工作负载下应使用哪种调度算法。

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