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author:

Zhang, Han (Zhang, Han.) [1] | Shi, Xingang (Shi, Xingang.) [2] | Yin, Xia (Yin, Xia.) [3] | Wang, Jilong (Wang, Jilong.) [4] | Wang, Zhiliang (Wang, Zhiliang.) [5] | Guo, Yingya (Guo, Yingya.) [6] (Scholars:郭迎亚) | Lan, Tian (Lan, Tian.) [7]

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Abstract:

Inter-DataCenter Wide Area Network (Inter-DC WAN) that connects geographically distributed data centers is becoming one of the most critical network infrastructures. Due to limited bandwidth and inevitable link failures, it is highly challenging to guarantee network availability for services, especially those with stringent bandwidth demands, over inter-DC WAN. We present BATE, a novel Traffic Engineering (TE) framework for bandwidth availability (BA) provision, which aims to ensure that each bandwidth demand must be satisfied with a stipulated probability, when subjected to the network capacity and possible failures of the inter-DC WAN. The three core components of BATE, i.e., admission control, traffic scheduling and failure recovery, are formulated through different mathematical models and theoretically analyzed. They are also extensively compared against state-of-the-art TE schemes, using a testbed as well as real trace driven simulations across different topologies, traffic matrices and failure scenarios. Our evaluations show that, compared with the optimal admission strategy, BATE can speed up the online admission control by 30x at the expense of less than 4% false rejections. On the other hand, compared with the latest TE schemes like FFC and TEAVAR, BATE can meet the bandwidth availability targets for 23%∼60% more demands under normal loads, and when network failure causes BA targets violations. © 2021 ACM.

Keyword:

Availability Bandwidth Wide area networks

Community:

  • [ 1 ] [Zhang, Han]Tsinghua University, Beijing, China
  • [ 2 ] [Shi, Xingang]Tsinghua University, Beijing, China
  • [ 3 ] [Yin, Xia]Tsinghua University, Beijing, China
  • [ 4 ] [Wang, Jilong]Tsinghua University, Beijing, China
  • [ 5 ] [Wang, Zhiliang]Tsinghua University, Beijing, China
  • [ 6 ] [Guo, Yingya]Fuzhou University, Fuzhou, China
  • [ 7 ] [Lan, Tian]George Washington University, Washington; DC, United States

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Year: 2021

Page: 297-312

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 3

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