Openflow Based Dynamic Flow Scheduling with Multipath for Data Center Networks

Haisheng Yu, Heng Qi, Keqiu Li, Jianhui Zhang, Peng Xiao, Xun Wang
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引用次数: 4

Abstract

The routing mechanism in Data Center networks can affect network performance and latency significantly. Hash-based method, such as ECMP (Equal-Cost Multi-Path), has been widely used in Data Center networks to fulfill the requirement of load balance. However, ECMP statically maps one flow to a path by a hash method, which results in some paths overloaded while others remain underutilized. Some dynamic flow scheduling schemes choose the most underutilized link as the next hop to better utilize the network bandwidth, while these schemes lacks of utilizing the global state of the network. To achieve high bandwidth utilization and low latency, we present a dynamic flow scheduling mechanism based on OpenFlow protocol which enables monitoring the global network information by a centralized controller. Depending on the network statistics obtained by the OpenFlow controller, the routing algorithm chooses the best path for the flow. Because there are two kinds of flows in a Data Center, short-lived flows and long-lived flows, we proposed two different algorithms for them. The implementation uses pox as OpenFlow controller and mininet as the network emulator. The evaluation results demonstrate that our dynamic flow scheduling algorithm is effective and can achieve high link utilization
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基于Openflow的数据中心网络多路径动态流调度
数据中心网络中的路由机制对网络的性能和时延影响很大。基于哈希的方法,如ECMP (Equal-Cost Multi-Path),已被广泛应用于数据中心网络中,以满足负载均衡的需求。但是,ECMP通过散列方法静态地将一个流映射到一个路径,这导致一些路径过载,而另一些路径仍然未得到充分利用。一些动态流调度方案选择未充分利用的链路作为下一跳,以更好地利用网络带宽,但这些方案缺乏对网络全局状态的利用。为了实现高带宽利用率和低延迟,我们提出了一种基于OpenFlow协议的动态流量调度机制,该机制可以通过集中控制器监控全局网络信息。路由算法根据OpenFlow控制器获得的网络统计信息,为流选择最优路径。由于数据中心中有两种流,短期流和长期流,因此我们为它们提出了两种不同的算法。该实现使用pox作为OpenFlow控制器,mininet作为网络仿真器。评价结果表明,动态流量调度算法是有效的,可以实现较高的链路利用率
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