{"title":"Mobile GPU Cloud Computing with real time application","authors":"Marwa Ayad, M. Taher, Ashraf M. Salem","doi":"10.1109/ICEAC.2015.7352209","DOIUrl":null,"url":null,"abstract":"Explosive growth of mobile devices usage and the quick increase of the mobile applications are facing many challenges in their resources as low computing power, battery life, limited bandwidth, and storage. Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services and to solve the mobile resources problem by moving the processing and the storage of data out from mobile devices to the cloud. The cloud enables the integration with additional development tool as graphical processing power (GPU) to increase the computational power. This paper presents a novel approach for real time face detection using GPU acceleration. The results of developed Applications demonstrate that the proposed Mobile GPU cloud computing increase both speed and accuracy of facial detection systems.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Energy Aware Computing Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAC.2015.7352209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Explosive growth of mobile devices usage and the quick increase of the mobile applications are facing many challenges in their resources as low computing power, battery life, limited bandwidth, and storage. Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services and to solve the mobile resources problem by moving the processing and the storage of data out from mobile devices to the cloud. The cloud enables the integration with additional development tool as graphical processing power (GPU) to increase the computational power. This paper presents a novel approach for real time face detection using GPU acceleration. The results of developed Applications demonstrate that the proposed Mobile GPU cloud computing increase both speed and accuracy of facial detection systems.
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