EXR: Greening Data Center Network with Software Defined Exclusive Routing

EXR: Greening Data Center Network with Software Defined Exclusive Routing
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EXR:利用软件定义的专有路由打造绿色数据中心网络

DOI:
10.1109/tc.2014.2375233
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发表时间:
2015-09
影响因子:
3.7
通讯作者:
Congjie Chen
Congjie Chen
中科院分区:
计算机科学2区
文献类型:
--
作者:
Dan Li;Yunfei Shang;Congjie Chen

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数据中心规模的爆炸式扩张加剧了能耗和碳足迹,制约了云服务的可持续发展,严重困扰着数据中心运营商。近年来,已经提出了大量先进的数据中心网络架构。它们通常采用富连接拓扑和多路径路由来提供高网络容量。不幸的是,它们在流量谷时间期间也经历低效的网络能量使用。为了解决这个问题,许多能量感知的流调度算法被提出,主要考虑如何聚合流量灵活地选择路由路径,流公平地共享链路带宽。本文利用软件定义网络(SDN)技术,探索了一种新的能量感知流调度解决方案,在时间维中调度流并对每个流使用独占路由(EXR),即,流总是独占地利用其路由路径的链路。关键的见解是,在高基数数据中心网络中,链路资源的独占占用通常导致更高的链路利用率,因为每个流不需要与其他流竞争链路带宽。在调度流时,EXR为运营商提供了定义流优先级的灵活性,例如,大量的仿真和测试床实验都表明,EXR可以有效地节省网络能量相比,定期公平共享路由(FSR),并显着减少平均流完成时间,如果分配更高的调度优先级较小的流量。
The explosive expansion of data center sizes aggravates the power consumption and carbon footprint, which has restricted the sustainable growth of cloud services and seriously troubled data center operators. In recent years, plenty of advanced data center network architectures have been proposed. They usually employ richly-connected topologies and multi-path routing to provide high network capacity. Unfortunately, they also undergo inefficient network energy usage during the traffic valley time. To address the problem, many energy-aware flow scheduling algorithms are proposed recently, primarily considering how to aggregate traffic by flexibly choosing the routing paths, with flows fairly sharing the link bandwidths. In this paper, we leverage software defined network (SDN) technique and explore a new solution to energy-aware flow scheduling, i.e., scheduling flows in the time dimension and using exclusive routing (EXR) for each flow, i.e., a flow always exclusively utilizes the links of its routing path. The key insight is that exclusive occupation of link resources usually results in higher link utilization in high-radix data center networks, since each flow does not need to compete for the link bandwidths with others. When scheduling the flows, EXR leaves flexibility to operators to define the priorities of flows, e.g., based on flow size, flow deadline, etc. Extensive simulations and testbed experiments both show that EXR can effectively save network energy compared with the regular fair-sharing routing (FSR), and significantly reduce the average flow completion time if assigning higher scheduling priorities to smaller flows.
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