4.5 Article

EXR: Greening Data Center Network with Software Defined Exclusive Routing

期刊

IEEE TRANSACTIONS ON COMPUTERS
卷 64, 期 9, 页码 2534-2544

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TC.2014.2375233

关键词

Data center network; software defined networking; exclusive routing

资金

  1. National Key Basic Research Program of China (973 program) [2014CB347800]
  2. National Natural Science Foundation of China [61170291, 61133006, 61161140454]
  3. National High-tech R&D Program of China (863 program) [2013AA013303]
  4. Tsinghua University Initiative Scientific Research Program

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据