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Chopin: Combining Distributed and Centralized Schedulers for Self-Adjusting Datacenter Networks

Authors: Neta Rozen-Schiff, Klaus-Tycho Foerster, Stefan Schmid, and David Hay

Published in: LIPIcs, Volume 253, 26th International Conference on Principles of Distributed Systems (OPODIS 2022)


Abstract
The performance of distributed and data-centric applications often critically depends on the interconnecting network. Emerging reconfigurable datacenter networks (RDCNs) are a particularly innovative approach to improve datacenter throughput. Relying on a dynamic optical topology which can be adjusted towards the workload in a demand-aware manner, RDCNs allow to exploit temporal and spatial locality in the communication pattern, and to provide topological shortcuts for frequently communicating racks. The key challenge, however, concerns how to realize demand-awareness in RDCNs in a scalable fashion. This paper presents and evaluates Chopin, a hybrid scheduler for self-adjusting networks that provides demand-awareness at low overhead, by combining centralized and distributed approaches. Chopin allocates optical circuits to elephant flows, through its slower centralized scheduler, utilizing global information. Chopin’s distributed scheduler is orders of magnitude faster and can swiftly react to changes in the traffic and adjust the optical circuits accordingly, by using only local information and running at each rack separately.

Cite as

Neta Rozen-Schiff, Klaus-Tycho Foerster, Stefan Schmid, and David Hay. Chopin: Combining Distributed and Centralized Schedulers for Self-Adjusting Datacenter Networks. In 26th International Conference on Principles of Distributed Systems (OPODIS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 253, pp. 25:1-25:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{rozenschiff_et_al:LIPIcs.OPODIS.2022.25,
  author =	{Rozen-Schiff, Neta and Foerster, Klaus-Tycho and Schmid, Stefan and Hay, David},
  title =	{{Chopin: Combining Distributed and Centralized Schedulers for Self-Adjusting Datacenter Networks}},
  booktitle =	{26th International Conference on Principles of Distributed Systems (OPODIS 2022)},
  pages =	{25:1--25:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-265-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{253},
  editor =	{Hillel, Eshcar and Palmieri, Roberto and Rivi\`{e}re, Etienne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2022.25},
  URN =		{urn:nbn:de:0030-drops-176457},
  doi =		{10.4230/LIPIcs.OPODIS.2022.25},
  annote =	{Keywords: reconfigurable optical networks, centralized scheduler, distributed scheduler}
}
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