Poster Abstract: A scalable coded computing framework for edge-facilitated wireless distributed computing

Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

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

8 Scopus citations

Abstract

We propose a scalable coded distributed computing framework for wireless distributed computing over a cluster of mobile users, in which the data shuffling across users are performed through an access point at the edge of the network. The proposed framework achieves a constant shuffling load that is independent of the number of participating users. The key idea is to utilize a particular repetitive structure of computation assignments at the users, in order to provide coding opportunities that reduce the shuffling load by a factor that grows linearly with the number of users.

Original languageEnglish (US)
Title of host publicationProceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages79-80
Number of pages2
ISBN (Electronic)9781509033218
DOIs
StatePublished - Dec 5 2016
Externally publishedYes
Event1st IEEE/ACM Symposium on Edge Computing, SEC 2016 - Washington, United States
Duration: Oct 27 2016Oct 28 2016

Publication series

NameProceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016

Conference

Conference1st IEEE/ACM Symposium on Edge Computing, SEC 2016
Country/TerritoryUnited States
CityWashington
Period10/27/1610/28/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Coded Multicasting
  • Edge-Facilitated Data Shuffling
  • MapReduce
  • Repetitive Computation Assignments
  • Scalable Distributed Computing
  • Wireless Distributed Computing

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