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Making Decisions at Data Plane Speeds

Published: 02 October 2023 Publication History

Abstract

Feedback control loops to implement self-driving networks constitute data collection to sense the network, and control algorithms to make decisions driving the network. Highquality data is necessary for smart decisions. Yet, highquality data is hard to obtain from the network data plane, due to insufficient visibility and large data volumes stemming from high packet rates. This paper distills principles to collect high-quality data arising from our own research experience: (i) filter and aggregate data as close to the source as possible; (ii) identify broad families of statistics that are measurable with bounded inaccuracy; (iii) don't assume lowlevel data plane software is easy to instrument, but instead (iv) apportion software flexibility by the time scales of the computation; and (v) prefer in-band approaches where possible for timely and efficient reactivity. We call the community to act upon these principles to leverage emerging opportunities using safely-extensible network stacks.

References

[1]
Prateesh Goyal et al. Elasticity detection: A building block for internet congestion control. In SIGCOMM, 2022.
[2]
Akshay Narayan et al. Restructuring endpoint congestion control. In SIGCOMM, 2018.
[3]
Srinivas Narayana et al. Language-directed hardware design for network performance monitoring. In SIGCOMM, 2017.
[4]
Bhavana Vannarth Shobhana et al. Load balancers need in-band feedback control. In ACM HotNets, 2022.

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 51, Issue 2
September 2023
110 pages
ISSN:0163-5999
DOI:10.1145/3626570
  • Editor:
  • Bo Ji
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2023
Published in SIGMETRICS Volume 51, Issue 2

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