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

被引：67

作者：

Jiang, Zhefeng ^{[1
]}

Mao, Shiwen ^{[1
]}

机构：

[1] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA

来源：

IEEE ACCESS | 2015年 / 3卷

基金：

美国国家科学基金会;

关键词：

Cloud computing; energy efficiency; job scheduling; Lyapunov optimization; offloading; ALGORITHM;

D O I：

10.1109/ACCESS.2015.2499300

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2306 / 2316

页数：11

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