移动边缘计算中的非透视和随机在线任务卸载

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Parallel Emergent and Distributed Systems Pub Date : 2022-01-12 DOI:10.1080/17445760.2021.2024536
Keqin Li
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引用次数: 3

摘要

在本文中,我们在组合优化的框架内考虑移动边缘计算中随机任务的非千里眼任务卸载。对于离线非千里眼任务卸载,我们提出了一种非千里眼睛任务卸载算法,该算法能够在不知道任何任务的计算量和通信量的情况下确定任务卸载策略。对于在线非千里眼任务卸载,我们提出了一种随机在线任务卸载算法,该算法能够在不知道未来任务和其他任务的情况下,对到达任务做出卸载决策。对于这两种算法,我们分析了一定性能保证的概率。我们还展示了数值数据。据作者所知,这是第一篇同时考虑移动边缘计算中离线和在线非千里眼任务卸载的论文,以及关于高概率性能保证的分析结果。
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Non-clairvoyant and randomised online task offloading in mobile edge computing
In this paper, we consider non-clairvoyant task offloading for random tasks in mobile edge computing within the framework of combinatorial optimisation. For offline non-clairvoyant task offloading, we propose a non-clairvoyant task offloading algorithm, which is able to determine a task offloading strategy without knowing the amount of computation and communication of any task. For online non-clairvoyant task offloading, we propose a randomised online task offloading algorithm, which is able to make an offloading decision for an arrival task without knowing anything about future tasks and other tasks. For both algorithms, we analyse the probability of certain performance guarantee. We also demonstrate numerical data. To the best of the author's knowledge, this is the first paper which considers both offline and online non-clairvoyant task offloading in mobile edge computing, together with analytical results on performance guarantee with high probability.
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CiteScore
2.30
自引率
0.00%
发文量
27
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