Maximizing the user's benefit in the mobile cloud computing

Ning Wang, Jie Wu

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

2 Scopus citations

Abstract

The increasing task computation complexity and limited battery has become a serious concern for smartphones. To reduce the task computation delay and save the smartphone battery usage, there have been many efforts to offload the tasks from the mobile device to the remote cloud with a much higher computation ability. However, offloading tasks to cloud will cause extra transmission delays and energy consumption. In reality, timely task execution is very important because the task's utility decays with time. Therefore, there exists a delay-energy trade-off. This paper addresses the aforementioned challenge. The smartphone should take advantage of the cloud in high computation speed so that the smartphone can achieve the maximum utility with limited battery. We get a 2-approximation schedule on expectation by using a LP rounding algorithm. The real trace experiments show the effectiveness of the proposed algorithms.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
PublisherAssociation for Computing Machinery
Pages21-23
Number of pages3
ISBN (Electronic)9781450342551
DOIs
StatePublished - Oct 3 2016
Externally publishedYes
Event8th Wireless of the Students, by the Students, and for the Students Workshop, S3 - New York, United States
Duration: Oct 3 2016Oct 7 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume03-07-October-2016

Conference

Conference8th Wireless of the Students, by the Students, and for the Students Workshop, S3
Country/TerritoryUnited States
CityNew York
Period10/3/1610/7/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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