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Distancer: A Host-Based Distributed Adaptive Load Balancer for Datacenter Traffic

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11335))

Abstract

Contemporary datacenter networks are typically organized with multi-rooted tree topologies. To fully utilize the multiple end-to-end paths, effective mechanisms are required to balance traffic across them. However, existing load balancers for datacenters either operate at a coarse granularity, or support little for network failures, or necessitate customized hardware. We propose Distancer, a host-based distributed adaptive load balancer for datacenter traffic, which requires no coordination and modification of switches. Based on a deep investigation of TCP feedback mechanism, we firstly design Congestion Detector (C-Detector), which exploits ACKs to effectively handle network hot-spots and path anomalies in real time; Then we develop Load-Balancer (L-Balancer) to select best paths for both data packets and ACKs. According to our extensive evaluations, Distancer can achieve up to 40% and 20% better average flow completion times (AFCTs) than ECMP and CONGA respectively. Under the presence of path failures, Distancer improves the AFCT up to 400% and 30% over ECMP and CONGA.

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Notes

  1. 1.

    In the TCP implementation of Linux kernel, the function tcp_output always sends out a whole congestion window at once.

  2. 2.

    Here we mean pure ACKs. The piggybacking ACKs are viewed as data packets by Distancer.

  3. 3.

    We moderately modify the MPTCP implementation on ns2 [1] to support our evaluation. We establish four subflows for every MPTCP connection in our experiments.

  4. 4.

    A multi-rooted tree topology that only comprises the edge switch layer and core switch layer.

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Wang, S., Li, X., Qian, Z., Yuan, J. (2018). Distancer: A Host-Based Distributed Adaptive Load Balancer for Datacenter Traffic. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11335. Springer, Cham. https://doi.org/10.1007/978-3-030-05054-2_43

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  • DOI: https://doi.org/10.1007/978-3-030-05054-2_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05053-5

  • Online ISBN: 978-3-030-05054-2

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