Recent advances in collaborative scheduling of computing tasks in an edge computing paradigm

Document Type

Article

Publication Date

2-1-2021

Abstract

In edge computing, edge devices can offload their overloaded computing tasks to an edge server. This can give full play to an edge server's advantages in computing and storage, and efficiently execute computing tasks. However, if they together offload all the overloaded computing tasks to an edge server, it can be overloaded, thereby resulting in the high processing delay of many computing tasks and unexpectedly high energy consumption. On the other hand, the resources in idle edge devices may be wasted and resource-rich cloud centers may be underutilized. Therefore, it is essential to explore a computing task collaborative scheduling mechanism with an edge server, a cloud center and edge devices according to task characteristics, optimization objectives and system status. It can help one realize efficient collaborative scheduling and precise execution of all computing tasks. This work analyzes and summarizes the edge computing scenarios in an edge computing paradigm. It then classifies the computing tasks in edge computing scenarios. Next, it formulates the optimization problem of computation offloading for an edge computing system. According to the problem formulation, the collaborative scheduling methods of computing tasks are then reviewed. Finally, future research issues for advanced collaborative scheduling in the context of edge computing are indicated.

Identifier

85099791544 (Scopus)

Publication Title

Sensors Switzerland

External Full Text Location

https://doi.org/10.3390/s21030779

ISSN

14248220

PubMed ID

33498910

First Page

1

Last Page

22

Issue

3

Volume

21

Grant

RG-21-135-39

Fund Ref

King Abdulaziz University

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