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On energy-efficient offloading in mobile cloud for realtime video applications
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
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2017 (English)In: IEEE transactions on circuits and systems for video technology (Print), ISSN 1051-8215, E-ISSN 1558-2205, Vol. 27, no 1, 170-181 p.Article in journal (Refereed) Published
Abstract [en]

Batteries of modern mobile devices remain severely limited in capacity, which makes energy consumption a key concern for mobile applications, particularly for the computation-intensive video applications. Mobile devices can save energy by offloading computation tasks to the cloud, yet the energy gain must exceed the additional communication cost for cloud migration to be beneficial. The situation is further complicated by real-time video applications that have stringent delay and bandwidth constraints. In this paper, we closely examine the performance and energy efficiency of representative mobile cloud applications under dynamic wireless network channels and state-of-the-art mobile platforms. We identify the unique challenges of and opportunities for offloading real-time video applications and develop a generic model for energy-efficient computation offloading accordingly in this context. We propose a scheduling algorithm that makes adaptive offloading decisions in fine granularity in dynamic wireless network conditions and verify its effectiveness through trace-driven simulations. We further present case studies with advanced mobile platforms and practical applications to demonstrate the superiority of our solution and the substantial gain of our approach over baseline approaches.

Place, publisher, year, edition, pages
2017. Vol. 27, no 1, 170-181 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-306127DOI: 10.1109/TCSVT.2016.2539690ISI: 000393796500015OAI: oai:DiVA.org:uu-306127DiVA: diva2:1039739
Available from: 2016-03-08 Created: 2016-10-25 Last updated: 2017-04-18Bibliographically approved

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Ngai, Edith C.-H.
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