{"title":"多mec和云网络计算资源分配的优化","authors":"A. Y. Du","doi":"10.1109/ISEC49744.2020.9397859","DOIUrl":null,"url":null,"abstract":"Mobile edge computing (MEC) technology has been studied for several years [1] and is still attracting more attentions. The optimization of MEC with cloud computing targets on improving efficiency of resources. In this work we consider a practical MEC application case in mobile video surveillance and analytics. By investigating some real application systems and using a simple model to analyze an optimization issue, we obtained some numerical results using MATLAB. The results shows that it is possible to improve the system performance in terms of energy saving and efficiency improving by balancing the workload between MEC and the cloud.","PeriodicalId":355861,"journal":{"name":"2020 IEEE Integrated STEM Education Conference (ISEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimization of Computational Resources Allocation for Multi-MEC and Cloud Networks\",\"authors\":\"A. Y. Du\",\"doi\":\"10.1109/ISEC49744.2020.9397859\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile edge computing (MEC) technology has been studied for several years [1] and is still attracting more attentions. The optimization of MEC with cloud computing targets on improving efficiency of resources. In this work we consider a practical MEC application case in mobile video surveillance and analytics. By investigating some real application systems and using a simple model to analyze an optimization issue, we obtained some numerical results using MATLAB. The results shows that it is possible to improve the system performance in terms of energy saving and efficiency improving by balancing the workload between MEC and the cloud.\",\"PeriodicalId\":355861,\"journal\":{\"name\":\"2020 IEEE Integrated STEM Education Conference (ISEC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Integrated STEM Education Conference (ISEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEC49744.2020.9397859\",\"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 Integrated STEM Education Conference (ISEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEC49744.2020.9397859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimization of Computational Resources Allocation for Multi-MEC and Cloud Networks
Mobile edge computing (MEC) technology has been studied for several years [1] and is still attracting more attentions. The optimization of MEC with cloud computing targets on improving efficiency of resources. In this work we consider a practical MEC application case in mobile video surveillance and analytics. By investigating some real application systems and using a simple model to analyze an optimization issue, we obtained some numerical results using MATLAB. The results shows that it is possible to improve the system performance in terms of energy saving and efficiency improving by balancing the workload between MEC and the cloud.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
