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QoS-Aware Service Discovery and Selection Management for Cloud-Edge Computing Using a Hybrid Meta-Heuristic Algorithm in IoT

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成果类型:
期刊论文
作者:
Wang, Ronghan;Lu, Junwei
通讯作者:
Lu, Junwei(cropro@126.com)
作者机构:
[Wang, Ronghan] Hunan Inst Sci & Technol Informat, Sci & Technol Informat Ctr, Changsha 410000, Hunan, Peoples R China.
[Lu, Junwei] Hunan Agr Univ, Orient Sci & Technol Coll, Educ Informat Platform, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Junwei Lu] E
Education Information Platform of Orient Science and Technology College of Hunan Agricultural University, Changsha, China
语种:
英文
关键词:
IoT;Cloud-edge computing;Grey wolf optimizer;Genetic algorithm;Service discovery
期刊:
Wireless Personal Communications
ISSN:
0929-6212
年:
2022
卷:
126
期:
3
页码:
2269-2282
基金类别:
There is no funding on this manuscript.
机构署名:
本校为其他机构
院系归属:
东方科技学院
摘要:
Cloud-edge computing is an emerging computing model based on Service Oriented Architecture that provides reliable and available cloud services as scalable resources by collaborating fog nodes on Internet of Things (IoT) environments. One of the important issues on service discovery is energy efficiency and security for existing cloud providers and fog nodes. An optimal service discovery and selection approach as an NP-Hard problem can effective on decreasing time and cost in cloud providers to achieve through maximum capacity of Quality of Service (QoS) factors. To address of the above challen...

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