Marieh Talebkhah, A. Sali, Mohsen Marjani, M. Gordan, S. Hashim, F. Rokhani
{"title":"边缘计算:架构、应用和未来展望","authors":"Marieh Talebkhah, A. Sali, Mohsen Marjani, M. Gordan, S. Hashim, F. Rokhani","doi":"10.1109/IICAIET49801.2020.9257824","DOIUrl":null,"url":null,"abstract":"The fast advancements in the fields of mobile internet and the internet of things (IoT) have caused several serious challenges for the traditional centralized cloud computing like large latency, small spectral efficiency (SE), and incompatible machine type of communication. Aimed at resolving the mentioned issues, several innovative technologies have been developed to shift the functions of the centralized cloud computing to the edge device of the network. Various edge computing techniques based on diverse origins have been established to decline the latency while improving SE, and supporting the massive machine-type communications. The present article offers an overview on three edge computing technologies: mobile edge computing, cloudlets, and fog computing. Specifically, standardizing procedures, principle, architecture, and utility of the mentioned technologies will be addressed. In terms of radio access network, the mobile edge computing difference from the fog computing was described. Features of fog computing radio access networks will be addressed as well. In the end, unsolved issues and future research topics will be discussed.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Edge computing: Architecture, Applications and Future Perspectives\",\"authors\":\"Marieh Talebkhah, A. Sali, Mohsen Marjani, M. Gordan, S. Hashim, F. Rokhani\",\"doi\":\"10.1109/IICAIET49801.2020.9257824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fast advancements in the fields of mobile internet and the internet of things (IoT) have caused several serious challenges for the traditional centralized cloud computing like large latency, small spectral efficiency (SE), and incompatible machine type of communication. Aimed at resolving the mentioned issues, several innovative technologies have been developed to shift the functions of the centralized cloud computing to the edge device of the network. Various edge computing techniques based on diverse origins have been established to decline the latency while improving SE, and supporting the massive machine-type communications. The present article offers an overview on three edge computing technologies: mobile edge computing, cloudlets, and fog computing. Specifically, standardizing procedures, principle, architecture, and utility of the mentioned technologies will be addressed. In terms of radio access network, the mobile edge computing difference from the fog computing was described. Features of fog computing radio access networks will be addressed as well. In the end, unsolved issues and future research topics will be discussed.\",\"PeriodicalId\":300885,\"journal\":{\"name\":\"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICAIET49801.2020.9257824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICAIET49801.2020.9257824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge computing: Architecture, Applications and Future Perspectives
The fast advancements in the fields of mobile internet and the internet of things (IoT) have caused several serious challenges for the traditional centralized cloud computing like large latency, small spectral efficiency (SE), and incompatible machine type of communication. Aimed at resolving the mentioned issues, several innovative technologies have been developed to shift the functions of the centralized cloud computing to the edge device of the network. Various edge computing techniques based on diverse origins have been established to decline the latency while improving SE, and supporting the massive machine-type communications. The present article offers an overview on three edge computing technologies: mobile edge computing, cloudlets, and fog computing. Specifically, standardizing procedures, principle, architecture, and utility of the mentioned technologies will be addressed. In terms of radio access network, the mobile edge computing difference from the fog computing was described. Features of fog computing radio access networks will be addressed as well. In the end, unsolved issues and future research topics will be discussed.