{"title":"一种高效灵活的手持设备卸载方案框架","authors":"B. Patra, Sarbani Roy, C. Chowdhury","doi":"10.1109/ANTS.2015.7413625","DOIUrl":null,"url":null,"abstract":"With rapid development of mobile networking and increasing demands of heavy computation on handheld devices, energy efficiency becomes an important design consideration. Offloading heavy computation-intensive tasks to remote machines provides the opportunity to save processing energy in the handheld devices. In this paper, a general purpose framework for offloading computation task to save energy in the handheld devices has been proposed. Given a number of resourceful hosts available, a handheld device can offload some computation on-the-fly to a desired device in the P2P network of smart devices. The framework chooses the application that is most cost-effective in terms of energy consumption. To evaluate the proposed approach, 0xbench an integrated Android benchmark suite by 0xLab has been considered. The framework is implemented and tested on P2P network of Android based handheld devices and found to be performing well with these benchmark codes regarding energy saving of the handheld devices.","PeriodicalId":347920,"journal":{"name":"2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A framework for energy efficient and flexible offloading scheme for handheld devices\",\"authors\":\"B. Patra, Sarbani Roy, C. Chowdhury\",\"doi\":\"10.1109/ANTS.2015.7413625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With rapid development of mobile networking and increasing demands of heavy computation on handheld devices, energy efficiency becomes an important design consideration. Offloading heavy computation-intensive tasks to remote machines provides the opportunity to save processing energy in the handheld devices. In this paper, a general purpose framework for offloading computation task to save energy in the handheld devices has been proposed. Given a number of resourceful hosts available, a handheld device can offload some computation on-the-fly to a desired device in the P2P network of smart devices. The framework chooses the application that is most cost-effective in terms of energy consumption. To evaluate the proposed approach, 0xbench an integrated Android benchmark suite by 0xLab has been considered. The framework is implemented and tested on P2P network of Android based handheld devices and found to be performing well with these benchmark codes regarding energy saving of the handheld devices.\",\"PeriodicalId\":347920,\"journal\":{\"name\":\"2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS.2015.7413625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2015.7413625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A framework for energy efficient and flexible offloading scheme for handheld devices
With rapid development of mobile networking and increasing demands of heavy computation on handheld devices, energy efficiency becomes an important design consideration. Offloading heavy computation-intensive tasks to remote machines provides the opportunity to save processing energy in the handheld devices. In this paper, a general purpose framework for offloading computation task to save energy in the handheld devices has been proposed. Given a number of resourceful hosts available, a handheld device can offload some computation on-the-fly to a desired device in the P2P network of smart devices. The framework chooses the application that is most cost-effective in terms of energy consumption. To evaluate the proposed approach, 0xbench an integrated Android benchmark suite by 0xLab has been considered. The framework is implemented and tested on P2P network of Android based handheld devices and found to be performing well with these benchmark codes regarding energy saving of the handheld devices.