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How close to the edge? Delay/utilization trends in MEC

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cel- lular mobile network. The large temporal and spatial varia- tions to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unaccept- able cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network op- erator's deployment strategy and geographic specifics of the cities we study.

Original languageEnglish
Title of host publicationCAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016
PublisherAssociation for Computing Machinery, Inc
Pages37-42
Number of pages6
ISBN (Electronic)9781450346733
DOIs
StatePublished - 12 Dec 2016
Event1st ACM CoNEXT Workshop on Cloud-Assisted Networking, CAN 2016 - Irvine, United States
Duration: 12 Dec 2016 → …

Publication series

NameCAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016

Conference

Conference1st ACM CoNEXT Workshop on Cloud-Assisted Networking, CAN 2016
Country/TerritoryUnited States
CityIrvine
Period12/12/16 → …

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

  • Mobile edge computing
  • Real-world traces

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