Offloading System Based on Estimated Response Time in Multi-tier Environment

Ryotaro Tani, Yuki Kobayashi, Hiroshi Shigeno

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

Abstract

Mobile devices such as smartphones have various restrictions in terms of resources such as batteries and processors. The load reduction on the mobile devices is possible by offloading, migrating application to the resource-rich environment such as cloud servers. However, further study is required on multi-tier environment which contains multiple resources composed of edge servers and cloud servers. This paper proposes an offloading system based on estimated response time (ERT) in multi-tier environment which contains multiple resources. The proposed offloading system calculates ERT based on the state of network and computation resources of each execution resource. Offloading is executed on execution resources with the minimum ERT. We implemented the prototype of the proposed offloading system and evaluated the performance.

Original languageEnglish
Title of host publication2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655535
DOIs
Publication statusPublished - 2019 Feb 25
Event16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States
Duration: 2019 Jan 112019 Jan 14

Publication series

Name2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Conference

Conference16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
CountryUnited States
CityLas Vegas
Period19/1/1119/1/14

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Keywords

  • Cloud Computing
  • Edge Computing
  • Offloading

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Tani, R., Kobayashi, Y., & Shigeno, H. (2019). Offloading System Based on Estimated Response Time in Multi-tier Environment. In 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 [8651833] (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2019.8651833