Mobile GPU Cloud Computing with real Time Application

被引：0

作者：

Ayad, Marwa ^{[1
]}

Taher, Mohamed ^{[1
]}

Salem, Ashraf ^{[1
]}

机构：

[1] Ain Shams Univ, Fac Engn, Mentor Graph Egypt, Dept Comp & Syst Engn, Cairo, Egypt

来源：

2015 5TH INTERNATIONAL CONFERENCE ON ENERGY AWARE COMPUTING SYSTEMS & APPLICATIONS (ICEAC) | 2015年

关键词：

Mobile Cloud Computing; Cloud Computing; Open Source Cloud OS; Openstack; Openshift; Client Server communication; Image processing; face detection; GPU;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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

引用

页数：4

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