{"title":"Mobility managed energy efficient Android mobile devices using cloudlet","authors":"Anuradha Ravi, S. K. Peddoju","doi":"10.1109/TECHSYM.2014.6808085","DOIUrl":null,"url":null,"abstract":"Mobile devices of today offload their compute intensive application to Cloud, but also consume huge energy while communicating using mobile network services like 3G/4G. Cloudlets can be used to provide such services with wireless LANs. However, the device mobility is limited to that network. Hence, Mobile Cloud Computing leaves two serious challenges, mobility and energy efficiency. This paper proposes a model to tackle the issues in new direction. In order to support mobility of the device, various parameters like signal strength, bit rate, number of interactions between Cloudlet and mobile device are measured to evaluate the handoff conditions. Further, various decisions are made based on two factors, offload factor and risk factor, to optimize the energy usage. Fuzzy based approach is used for offloading decisions. The proposed model and algorithm were evaluated using “opennebula” based Cloud setup and related experimental results were reported.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Students' Technology Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TECHSYM.2014.6808085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Mobile devices of today offload their compute intensive application to Cloud, but also consume huge energy while communicating using mobile network services like 3G/4G. Cloudlets can be used to provide such services with wireless LANs. However, the device mobility is limited to that network. Hence, Mobile Cloud Computing leaves two serious challenges, mobility and energy efficiency. This paper proposes a model to tackle the issues in new direction. In order to support mobility of the device, various parameters like signal strength, bit rate, number of interactions between Cloudlet and mobile device are measured to evaluate the handoff conditions. Further, various decisions are made based on two factors, offload factor and risk factor, to optimize the energy usage. Fuzzy based approach is used for offloading decisions. The proposed model and algorithm were evaluated using “opennebula” based Cloud setup and related experimental results were reported.