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Energy-efficient computation offloading model for mobile phone environment

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5 Author(s)
Fekete, Krisztian ; Budapest University of Technology and Economics, Department of Automation and Applied Informatics, Hungary ; Csorba, Kristof ; Forstner, Bertalan ; Feher, Marcell
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The popularity of smartphones is growing every day. Thanks to the more powerful hardware the applications can run more tasks and use broadband network connection, however there are several known issues. For example, under typical usage (messaging, browsing, and gaming) a smartphone can be discharged in one day. This makes the battery life one of the biggest problems of the mobile devices. That is a good motivation to find energy-efficient solutions. One of the possible methods is the “computation offloading” mechanism, which means that some of the tasks are uploaded to the cloud. In this paper we are going to present a new energy-efficient job scheduling model and a measurement infrastructure which is used to analyze the energy consumption of smartphones. Our results are going to be demonstrated through some scenarios where the goal is to save energy. The offloading task is based on LP and scheduling problems.

Published in:

Cloud Networking (CLOUDNET), 2012 IEEE 1st International Conference on

Date of Conference:

28-30 Nov. 2012