Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach
Abstract
This paper studies the problem of offloading an application consisting of dependent tasks in multi-access edge computing (MEC). This problem is challenging because multiple conflicting objectives exist, e.g., the completion time, energy consumption, and computation overhead should be optimized simultaneously. Recently, some reinforcement learning (RL) based methods have been proposed to address the problem. However, these methods, called...
Paper Details
Title
Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach
Published Date
Mar 1, 2022
Volume
128
Pages
333 - 348
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