Opportunities for data-driven cloud-based mobile optimization

William Myott, Thao Nguyen, Abhishek Chandra, George Karypis, Jon Weissman

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

Abstract

In this paper, we present our vision for cloud-based mobile computing using user profile information. Such information enables a series of data-driven optimizations: filtering, aggregation, and speculation, that go beyond the well-researched benefit of mobile outsourcing. These optimizations can improve performance, reliability, and energy usage. A novel aspect of our approach is to exploit the unique ability of the cloud to collect and analyze large amounts of user profile data, cache shared data, and even enable sharing of computations, across different mobile users. We present results for two exemplar mobile-cloud applications, driven by workload traces derived from Twitter feeds and Wikipedia document editing, to illustrate these opportunities.

Original languageEnglish (US)
Title of host publication2014 International Conference on Collaboration Technologies and Systems, CTS 2014
PublisherIEEE Computer Society
Pages483-487
Number of pages5
ISBN (Print)9781479951567
DOIs
StatePublished - Jan 1 2014
Event2014 15th International Conference on Collaboration Technologies and Systems, CTS 2014 - Minneapolis, MN, United States
Duration: May 19 2014May 23 2014

Publication series

Name2014 International Conference on Collaboration Technologies and Systems, CTS 2014

Other

Other2014 15th International Conference on Collaboration Technologies and Systems, CTS 2014
CountryUnited States
CityMinneapolis, MN
Period5/19/145/23/14

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  • Cite this

    Myott, W., Nguyen, T., Chandra, A., Karypis, G., & Weissman, J. (2014). Opportunities for data-driven cloud-based mobile optimization. In 2014 International Conference on Collaboration Technologies and Systems, CTS 2014 (pp. 483-487). [6867611] (2014 International Conference on Collaboration Technologies and Systems, CTS 2014). IEEE Computer Society. https://doi.org/10.1109/CTS.2014.6867611