Mobile Computation Offloading for Application Throughput Fairness and Energy Efficiency

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Mobile computation offloading is emerging as a promising technology to enhance the computation power of mobile devices by borrowing processing resources from the cloud. However, using cloud resource is a double-edged sword because of the potentially enormous network energy consumption of mobile devices. In this paper, we study the mobile device resource management problem for application throughput fairness and energy efficiency in computation offloading environment. Our problem seeks to optimize task arrival rates, scheduling for local processing and offloading, CPU clock speed, and network interface selection, so as to maximize the energy-utility efficiency defined as achievable utility per unit energy consumption. The efficiency metric has a fractional form which is hard to deal with in general. To address this difficulty, we modify general Lyapunov optimization technique and derive a series of shortterm problems, which change over time with respect to an unknown objective parameter. Then we derive an offloading algorithm and prove that the algorithm maximizes the longterm energy-utility efficiency. Trace-driven simulations demonstrate that our algorithm achieves high energy efficiency while maintaining throughput fairness among applications running on a mobile device.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2019-01
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.18, no.1, pp.3 - 19

ISSN
1536-1276
DOI
10.1109/TWC.2018.2868679
URI
http://hdl.handle.net/10203/250245
Appears in Collection
EE-Journal Papers(저널논문)
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