{"title":"运行时管理的移动应用程序执行","authors":"M. Zanella, G. Massari, W. Fornaciari","doi":"10.1109/FMEC.2019.8795323","DOIUrl":null,"url":null,"abstract":"Achieving an optimal management of the energy budget of mobile devices, while matching the applications performance requirements is always a challenging task. In our research, we are exploring the possible benefits of driving run-time management strategies, from an application perspective, by integrating the programming model with the run-time system and exploiting suitable API for explicit application requirements specification.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Run-Time Managed Mobile Application Execution\",\"authors\":\"M. Zanella, G. Massari, W. Fornaciari\",\"doi\":\"10.1109/FMEC.2019.8795323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Achieving an optimal management of the energy budget of mobile devices, while matching the applications performance requirements is always a challenging task. In our research, we are exploring the possible benefits of driving run-time management strategies, from an application perspective, by integrating the programming model with the run-time system and exploiting suitable API for explicit application requirements specification.\",\"PeriodicalId\":101825,\"journal\":{\"name\":\"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMEC.2019.8795323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMEC.2019.8795323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Achieving an optimal management of the energy budget of mobile devices, while matching the applications performance requirements is always a challenging task. In our research, we are exploring the possible benefits of driving run-time management strategies, from an application perspective, by integrating the programming model with the run-time system and exploiting suitable API for explicit application requirements specification.