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Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm

Authors
  • Chen, Shichao1
  • Li, Qijie
  • Zhou, Mengchu2,
  • Abusorrah, Abdullah
  • 1 The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • 2 Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
Type
Published Article
Journal
Sensors
Publisher
MDPI AG
Publication Date
Jan 24, 2021
Volume
21
Issue
3
Identifiers
DOI: 10.3390/s21030779
PMID: 33498910
PMCID: PMC7865659
Source
PubMed Central
Keywords
License
Green

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.

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