Distributed Task Scheduling in Serverless Edge Computing Networks for the Internet of Things: A Learning Approach

By delegating the infrastructure management, such as provisioning or scaling to third-party providers, serverless edge computing has recently been widely adopted in several applications, especially Internet of Things (IoT) applications. Task scheduling is a critical issue in serverless edge computin...

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Veröffentlicht in:	IEEE internet of things journal Jg. 9; H. 20; S. 19634 - 19648
Hauptverfasser:	Tang, Qinqin, Xie, Renchao, Yu, Fei Richard, Chen, Tianjiao, Zhang, Ran, Huang, Tao, Liu, Yunjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 15.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cloud computing Computational modeling Deep reinforcement learning (DRL) distributed task scheduling Edge computing Internet of Things Internet of Things (IoT) Job shop scheduling Multiagent systems Nodes Optimization Processor scheduling Provisioning Resource allocation Resource scheduling Scheduling Serverless computing serverless edge computing stochastic game Task analysis Task scheduling User experience
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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