4.6 Article

Energy Delay Tradeoff in Cloud Offloading for Multi-Core Mobile Devices

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

  1. National Science Foundation [CNS-1247955]
  2. Wireless Engineering Research and Education Center, Auburn University
  3. Direct For Computer & Info Scie & Enginr
  4. Division Of Computer and Network Systems [1247955] Funding Source: National Science Foundation

向作者/读者索取更多资源

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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