{"title":"最先进的边缘节能研究","authors":"Kousalya Banka, Kun Suo, Yong Shi, S. Baidya","doi":"10.1145/3409334.3452079","DOIUrl":null,"url":null,"abstract":"Edge computing or Internet of Things (IoT) comprises a set of devices that are interconnected ranging from our daily used objects to advanced networked equipment. It is constantly evolving as the number of devices owned by users is increasing at a rapid speed. These devices are used for various scenarios such as health care, monitoring, autonomous vehicles etc. However, as the edges perform more complex operations and IoTs carry increasing heavy workloads, they demand more energy to perform such tasks. In this paper, we perform a comprehensive study of state-of-the-art energy saving on edge platforms. Specifically, energy efficiency of the devices that run on the edges as well as corresponding solutions including hardware, software, algorithms, etc. will be thoroughly analyzed and we also presented the strengths and weakness of various researches in each area.","PeriodicalId":148741,"journal":{"name":"Proceedings of the 2021 ACM Southeast Conference","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A study of state-of-the-art energy saving on edges\",\"authors\":\"Kousalya Banka, Kun Suo, Yong Shi, S. Baidya\",\"doi\":\"10.1145/3409334.3452079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Edge computing or Internet of Things (IoT) comprises a set of devices that are interconnected ranging from our daily used objects to advanced networked equipment. It is constantly evolving as the number of devices owned by users is increasing at a rapid speed. These devices are used for various scenarios such as health care, monitoring, autonomous vehicles etc. However, as the edges perform more complex operations and IoTs carry increasing heavy workloads, they demand more energy to perform such tasks. In this paper, we perform a comprehensive study of state-of-the-art energy saving on edge platforms. Specifically, energy efficiency of the devices that run on the edges as well as corresponding solutions including hardware, software, algorithms, etc. will be thoroughly analyzed and we also presented the strengths and weakness of various researches in each area.\",\"PeriodicalId\":148741,\"journal\":{\"name\":\"Proceedings of the 2021 ACM Southeast Conference\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM Southeast Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3409334.3452079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 ACM Southeast Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3409334.3452079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study of state-of-the-art energy saving on edges
Edge computing or Internet of Things (IoT) comprises a set of devices that are interconnected ranging from our daily used objects to advanced networked equipment. It is constantly evolving as the number of devices owned by users is increasing at a rapid speed. These devices are used for various scenarios such as health care, monitoring, autonomous vehicles etc. However, as the edges perform more complex operations and IoTs carry increasing heavy workloads, they demand more energy to perform such tasks. In this paper, we perform a comprehensive study of state-of-the-art energy saving on edge platforms. Specifically, energy efficiency of the devices that run on the edges as well as corresponding solutions including hardware, software, algorithms, etc. will be thoroughly analyzed and we also presented the strengths and weakness of various researches in each area.