{"title":"基于Docker容器的移动云计算卸载系统的研究与实现","authors":"Huaijun Wang, Ling Tian, Junhuai Li, Zhe Gao","doi":"10.1109/ISCID.2017.177","DOIUrl":null,"url":null,"abstract":"In this paper, we focus on research and analysis of the energy consumption model of main components which constitute a mobile application, in particular, mobile time-based energy consumption model. Advancing on previous work, a framework and the method for mobile cloud computation offloading based on energy consumption are proposed. Finally, we design and implement the proposal framework based on the Docker container, and evaluate it with a range of experiments. It can be expected that the computation and energy consumption are effectively reduced and saved.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and Implementation of Mobile Cloud Computing Offloading System Based on Docker Container\",\"authors\":\"Huaijun Wang, Ling Tian, Junhuai Li, Zhe Gao\",\"doi\":\"10.1109/ISCID.2017.177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we focus on research and analysis of the energy consumption model of main components which constitute a mobile application, in particular, mobile time-based energy consumption model. Advancing on previous work, a framework and the method for mobile cloud computation offloading based on energy consumption are proposed. Finally, we design and implement the proposal framework based on the Docker container, and evaluate it with a range of experiments. It can be expected that the computation and energy consumption are effectively reduced and saved.\",\"PeriodicalId\":294370,\"journal\":{\"name\":\"International Symposium on Computational Intelligence and Design\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2017.177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2017.177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Implementation of Mobile Cloud Computing Offloading System Based on Docker Container
In this paper, we focus on research and analysis of the energy consumption model of main components which constitute a mobile application, in particular, mobile time-based energy consumption model. Advancing on previous work, a framework and the method for mobile cloud computation offloading based on energy consumption are proposed. Finally, we design and implement the proposal framework based on the Docker container, and evaluate it with a range of experiments. It can be expected that the computation and energy consumption are effectively reduced and saved.