2021 | OriginalPaper | Chapter
Online Learning-Based Co-task Dispatching with Function Configuration in Edge Computing
Authors : Wanli Cao, Haisheng Tan, Zhenhua Han, Shuokang Han, Mingxia Li, Xiang-Yang Li
Published in: Parallel and Distributed Computing, Applications and Technologies
Publisher: Springer International Publishing
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Abstract
OnDisco
, which combines reinforcement learning and heuristic methods to minimize the average completion time of co-tasks. Compared with heuristic algorithm, deep reinforcement learning can learn the inherent characteristics of the environment without any prior knowledge, and OnDisco
is therefore well adapted to varying environments. Simulations on Alibaba traces shows that OnDisco
reduces the average task completion time by \(58\%\) and \(76\%\) compared with the heuristic and random algorithm, respectively. Moreover, OnDisco
outperforms the baselines consistently in various data environments and parameter settings.