Network support for resource disaggregation in next-generation datacenters

Sangjin Han, Norbert Egi, Aurojit Panda, Sylvia Ratnasamy, Guangyu Shi, Scott Shenker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Datacenters have traditionally been architected as a collection of servers wherein each server aggregates a fixed amount of computing, memory, storage, and communication resources. In this paper, we advocate an alternative construction in which the resources within a server are disaggregated and the datacenter is instead architected as a collection of standalone resources. Disaggregation brings greater modularity to datacenter infrastructure, allowing operators to optimize their deployments for improved efficiency and performance. However, the key enabling or blocking factor for disag-gregation will be the network since communication that was previously contained within a single server now traverses the datacenter fabric. This paper thus explores the question of whether we can build networks that enable disaggregation at datacenter scales.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th ACM Workshop on Hot Topics in Networks, HotNets 2013
DOIs
StatePublished - 2013
Event12th ACM Workshop on Hot Topics in Networks, HotNets 2013 - College Park, MD, United States
Duration: Nov 21 2013Nov 22 2013

Publication series

NameProceedings of the 12th ACM Workshop on Hot Topics in Networks, HotNets 2013

Other

Other12th ACM Workshop on Hot Topics in Networks, HotNets 2013
CountryUnited States
CityCollege Park, MD
Period11/21/1311/22/13

Keywords

  • Design
  • Performance

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Han, S., Egi, N., Panda, A., Ratnasamy, S., Shi, G., & Shenker, S. (2013). Network support for resource disaggregation in next-generation datacenters. In Proceedings of the 12th ACM Workshop on Hot Topics in Networks, HotNets 2013 [10] (Proceedings of the 12th ACM Workshop on Hot Topics in Networks, HotNets 2013). https://doi.org/10.1145/2535771.2535778