Intelligent VVoIP implementation in UEC cloud computing

Abstract

A high-performance real-time video/voice over IP (VV oIP) applications have been implemented using an Ubuntu Enterprise Cloud (UEC) and it is denoted UEC-VVOIP. It really outperforms the previous VV oIP via P2P connection (called SCTP-IHU) because user does not need to know what is a real IP and browsing the web with TCP-Based RMTP protocol achieves a pretty good friendly user interface.Therefore, this scheme reduces computation load and power consumption dramatically at user side. We have employed back-propagation neural network (BPNN) together with particle swarm optimization (PSO) to appropriately tune seamless handoff and analyze network traffic over time. As a result it takes about 1.597 sec for the seamless handoff between base stations under mobile wireless network. In access control the rapid facial recognition and fingerprint identification via cloud computing has been done successfully within 2.18 seconds to identify the subject. In conclusion the performance of both measures is better than the alternative VV oIP using Hadoop platform we've done before.

User Privacy and Security in Cloud Computing

“…Current cloud services cause an intrinsic challenge to data privacy [ 12]. This is because they normally result in data being accessible in unencrypted form on a machine operated and owned by dissimilar organization from the data owner.…”

“…Furthermore, UEC should be able to limit the system level modifications requisite in order to make the use of privacy preservation technique trouble free and swift. In addition, UEC should not sustain any data loss on users' private information stored in the cloud database [12].…”

“…UEC is an open source Linux based architecture which is included with Ubuntu server edition [12]. It provides virtualization capability; flexibility and applications to assist in deploying a cloud within an organization [11].…”