2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA) (2014)
May 13, 2014 to May 16, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAINA.2014.22
Face recognition has received attention from research communities recently. Law enforcement agencies are using facial recognition software as a crime-fighting tool. The quick increasing of Mobile Devices usage and the explosive growth of the mobile applications Mobile face recognition is one of important application. In the same time the mobile devices 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. MCC offers abundant computing power that can be tapped easily. This paper gives explanation of MCC definition, Building private cloud with Open Source cloud OS, Face recognition as MCC Application with presenting the face detection and face recognition algorithms. Our results demonstrate that the proposed architecture is promising for real-time Mobile cloud computing by reducing the overall processing time.
face Recognition, Mobile Cloud Computing, Cloud Computing, IAAS, PAAS, SAAS, Open Source Cloud OS, Openstack, Openshift, Client Server communication, Web Services, Image processing, face Detection
M. Ayad, M. Taher and A. Salem, "Real-Time Mobile Cloud Computing: A Case Study in Face Recognition," 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), BC, Canada, 2014, pp. 73-78.