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A hierarchical task scheduling strategy in mobile edge computing
Author(s) -
Shen Xiaoyang
Publication year - 2020
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.224
Subject(s) - computer science , distributed computing , edge computing , scheduling (production processes) , cloud computing , mobile edge computing , application layer , edge device , dynamic priority scheduling , task (project management) , computation , enhanced data rates for gsm evolution , computer network , artificial intelligence , operating system , algorithm , engineering , operations management , quality of service , software deployment , systems engineering
Mobile Edge Computing (MEC) has attracted much attention from the global researchers because it supports the task migration from the cloud server to the mobile edge devices, which greatly improves the computation performance. Under MEC, this letter proposes a hierarchical task scheduling strategy. To be specific, the system framework includes the edge computing layer and the frog computing layer, in which the former is responsible for processing the simple tasks (outputting the sketchy result) and the latter is used to addressing the complex tasks (outputting the precise result). In particular, the tasks after going through the edge computing layer, they are allocated with the priorities; on this basis, the frog computing layer embeds a priority‐based task scheduling strategy. The experimental results demonstrate that the proposed hierarchical scheduling strategy not only is feasible but also has better delay performance and load balance performance than the benchmarks.