Cerberus: The Power of Choices in Datacenter Topology Design (A Throughput Perspective)

Cerberus: The Power of Choices in Datacenter Topology Design (A Throughput Perspective)

Abstract

The bandwidth and latency requirements of modern datacenter applications have led researchers to propose various topology designs using static, dynamic demand-oblivious (rotor), and/or dynamic demand-aware switches. However, given the diverse nature of datacenter traffic, there is little consensus about how these designs would fare against each other. In this work, we analyze the throughput of existing topology designs under different traffic patterns and study their unique advantages and potential costs in terms of bandwidth and latency “tax”. To overcome the identified inefficiencies, we propose Cerberus, a unified, two-layer leaf-spine optical datacenter design with three topology types. Cerberus systematically matches different traffic patterns with their most suitable topology type: e.g., latency-sensitive flows are transmitted via a static topology, all-to-all traffic via a rotor topology, and elephant flows via a demand-aware topology. We show analytically and in simulations that Cerberus can improve throughput significantly compared to alternative approaches and operate datacenters at higher loads while being throughput-proportional.

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Authors
  • Griner, Chen
  • Zerwas, Johannes
  • Blenk, Andreas
  • Ghobadi, Manya
  • Schmid, Stefan
  • Avin, Chen
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Supplemental Material
Shortfacts
Category
Journal Paper
Divisions
Communication Technologies
Subjects
Informatik Allgemeines
Journal or Publication Title
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS)
ISSN
2476-1249
Date
2022
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