標題: A Fault-Tolerant ONVIF Standard Extension for Cloud-Based Surveillance Systems
作者: Chiao, Hsin-Ta
Lin, Chia-Feng
Chang, Yue-Shan
Sheu, Ruey-Kai
Chen, Lung-Pin
Yuan, Shyan-Ming
資訊工程學系
Department of Computer Science
關鍵字: IP cameras;network video recorders;fault tolerance
公開日期: 1-一月-2017
摘要: ONVIF (Open Network Video Interface Forum) is a popular standard for the video surveillance industries. Since ONVIF specifications do not provide fault-tolerant functions to deal with NVT (Network Video Transmitter) or NVS (Network Video Storage) failure, we propose a fault-tolerant solution for both ONVIF NVT and NVS in this paper. The proposed fault-tolerant extension is also possible to be deployed over cloud-based environments, such as IaaS (Infrastructure as a Service) platforms. The proposed solution is evaluated by the following three performance metrics: the access response time for ONVIF web services, the video recording interrupt duration due to NVS failure, and the video black out time of the surveillance video monitoring system. The experimental results show that all the metrics are within the acceptable range for a real world video surveillance system.
URI: http://dx.doi.org/10.1109/SC2.2017.38
http://hdl.handle.net/11536/150752
DOI: 10.1109/SC2.2017.38
期刊: 2017 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CLOUD AND SERVICE COMPUTING (SC2 2017)
起始頁: 201
結束頁: 208
顯示於類別:會議論文