期刊
IEEE ACCESS
卷 3, 期 -, 页码 2306-2316出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2015.2499300
关键词
Cloud computing; energy efficiency; job scheduling; Lyapunov optimization; offloading
资金
- National Science Foundation [CNS-1247955]
- Wireless Engineering Research and Education Center, Auburn University
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1247955] Funding Source: National Science Foundation
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.
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