A modified water cycle evolutionary game theory algorithm to utilize QoS for IoT services in cloud-assisted fog computing environments

The Internet of Things (IoT) is rapidly gaining popularity as a result of the advancements in portable embedded devices and wireless protocols, enabling a new class of services. On the other hand, edge clouds provide IoT services as a new paradigm called fog computing. As the number of available IoT...

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Vydané v:	The Journal of supercomputing Ročník 76; číslo 7; s. 5578 - 5608
Hlavní autori:	Emami Khansari, Mina, Sharifian, Saeed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2020 Springer Nature B.V
Predmet:	Algorithms Cloud computing Compilers Composition Computer Science Computer simulation Electronic devices Embedded systems Evolutionary algorithms Game theory Hydrologic cycle Internet of Things Interpreters Network latency Optimization Portable equipment Power consumption Processor Architectures Programming Languages Protocol (computers) Provisioning Resource allocation Resource management Resource utilization Task complexity Workflow Fog computing Service selection Evolutionary game Water cycle algorithm IoT
ISSN:	0920-8542, 1573-0484
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