Enabling fine-grained edge offloading for IoT

Vittorio Cozzolino, Aaron Yi Ding, Jorg Ott, Dirk Kutscher

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

7 Scopus citations

Abstract

In this paper we make the case for IoT edge o.oading, which strives to exploit the resources on edge computing devices by o.oading ffne-grained computation tasks from the cloud closer to the users and data generators (i.e., IoT devices).e key motive is to enhance performance, security and privacy for IoT services. Our proposal bridges the gap between cloud computing and IoT by applying a divide and conquer approach over the multi-level (cloud, edge and IoT) information pipeline. To validate the design of IoT edge o.oading, we developed a unikernel-based prototype and evaluated the system under various hardware and network conditions. Our experimentation has shown promising results and revealed the limitation of existing IoT hardware and virtualization platforms, shedding light on future research of edge computing and IoT.

Original languageEnglish
Title of host publicationSIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017
PublisherAssociation for Computing Machinery, Inc
Pages124-126
Number of pages3
ISBN (Electronic)9781450350570
DOIs
StatePublished - 22 Aug 2017
EventACM SIGCOMM 2017 Conference - Los Angeles, United States
Duration: 22 Aug 201724 Aug 2017

Publication series

NameSIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017

Conference

ConferenceACM SIGCOMM 2017 Conference
Country/TerritoryUnited States
CityLos Angeles
Period22/08/1724/08/17

Keywords

  • Edge Computing
  • IoT
  • Virtualization

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