QoS-adaptive service configuration framework for cloud-assisted video surveillance systems

Journal Article

Atif, Alamri, M. Shamim Hossain, Ahmad Almogren, Mohammad Mehedi Hassan, Khalid Alnafjan, Mohammed Zakariah, Lee Seyam, and Abdullah Alghamdi, . 2015

• Publication Work Type: Cloud Computing
• Publication Online URL: http://link.springer.com/article/10.1007%2Fs11042-015-3074-7#page-1
• Magazine \ Newspaper: Multimedia Tools and Applications

Publication Abstract

Quality of service (QoS)-adaptive service configuration is crucial for seamless access to video services in cloud-assisted video surveillance systems. To maintain seamless access to video on a user’s preferred device, suitable video transcoding services are needed. It is a challenging task to choose and configure these services for various devices to ensureQoS-adaptive user experiences. To configure these services for the desired user devices, a suitable configuration algorithm is needed. Therefore, this paper describes a QoS-adaptive service configuration approach to choose the optimal configuration for the preferred user devices in varied contexts so that the user can access the services ubiquitously. We implemented a cloud-assisted video surveillance prototype to show how the proposed method can handle ubiquitous access to target video for possible QoS-adaptive and video processing requirements in terms of bandwidth, delay, and frame rates. The results show that the proposed configuration method outperforms the other comparable approaches.