An IoT-based task scheduling optimization scheme considering the deadline and cost-aware scientific workflow for cloud computing

Large-scale applications of Internet of things (IoT), which require considerable computing tasks and storage resources, are increasingly deployed in cloud environments. Compared with the traditional computing model, characteristics of the cloud such as pay-as-you-go, unlimited expansion, and dynamic...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 19
Hauptverfasser:	Ma, Xiaojin, Gao, Honghao, Xu, Huahu, Bian, Minjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 08.11.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Application scheduling Cloud computing Communications Engineering Completion time Computer simulation Computing costs Crossovers Deadlines Dependence Engineering Information Systems Applications (incl.Internet) Internet of Things IoT Multi-modal Sensor Data Fusion in Internet of Things Multiple constraints Mutation Networks Optimization Quality of service architectures Signal,Image and Speech Processing Task scheduling Virtual environments Virtualization Workflow Application scheduling Multiple constraints Virtualization IoT
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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