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- W4367011799 abstract "To deliver better performance services to consumers, edge and cloud devices can be combined for mobile services. Edge servers can decrease computation delays by offering local computing services, whereas cloud servers can handle jobs that require a lot of processing power. When both edge and cloud servers are used together, it is possible to maximise computing resources while maintaining high Quality of Service (QoS). Edge-cloud computing business models rely on the ability to create effective collaboration between the edge and the cloud. This project develops a solid foundation for mobile edge-cloud computational networks that allows for effective resource exchange between the edge servers and the cloud server. Assign the administration of wholesale and buyback schemes to the edge servers and the determination of the wholesale price to the cloud server to maximise the utilisation of computing resources through the minimised computational delay. Then, using two techniques, proposed algorithms for optimising the computer resource sharing process. They are: (i) Zero profit exchange between the cloud server and the edge server. (ii) Profits transferring between the cloud server and the edge server." @default.
- W4367011799 created "2023-04-27" @default.
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- W4367011799 date "2023-01-01" @default.
- W4367011799 modified "2023-09-25" @default.
- W4367011799 title "Efficient Computing Resource Sharing for Mobile Edge-Cloud Computing Networks" @default.
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- W4367011799 doi "https://doi.org/10.1007/978-981-19-5191-6_42" @default.
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