DocumentCode
3610071
Title
Energy Delay Tradeoff in Cloud Offloading for Multi-Core Mobile Devices
Author
Zhefeng Jiang ; Shiwen Mao
Author_Institution
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
Volume
3
fYear
2015
fDate
7/7/1905 12:00:00 AM
Firstpage
2306
Lastpage
2316
Abstract
Cloud offloading is considered a promising approach for both energy conservation and storage/computation enhancement for resource-limited mobile devices. In this paper, we present a Lyapunov optimization-based scheme for cloud offloading scheduling, as well as download scheduling for cloud execution output, for multiple applications running in a mobile device with a multi-core CPU. We derive an online algorithm and prove performance bounds for the proposed algorithm with respect to average power consumption and average queue length, which is indicative of delay, and reveal the fundamental tradeoff between the two optimization goals. The performance of the proposed online scheduling scheme is validated with trace-driven simulations.
Keywords
Lyapunov methods; cloud computing; digital simulation; energy conservation; mobile computing; multiprocessing systems; optimisation; power aware computing; processor scheduling; Lyapunov optimization-based scheme; cloud execution output; cloud offloading; cloud offloading scheduling; download scheduling; energy conservation; energy delay tradeoff; multicore CPU; multicore mobile device; online scheduling scheme; resource limited mobile device; trace driven simulation; Cloud computing; Energy conservation; Energy efficiency; Job shop scheduling; Load management; Lyapunov optimization; Storage management; Cloud computing; Lyapunov optimization; energy efficiency; job scheduling; offloading;
fLanguage
English
Journal_Title
Access, IEEE
Publisher
ieee
ISSN
2169-3536
Type
jour
DOI
10.1109/ACCESS.2015.2499300
Filename
7323792
Link To Document