Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2011.6012076
Title: Dynamic workload assignment in video surveillance systems
Authors: Saini, M.
Wang, X.
Atrey, P.
Kankanhalli, M. 
Keywords: cloud
dynamic
model
surveillance
workload
Issue Date: 2011
Source: Saini, M.,Wang, X.,Atrey, P.,Kankanhalli, M. (2011). Dynamic workload assignment in video surveillance systems. Proceedings - IEEE International Conference on Multimedia and Expo. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2011.6012076
Abstract: Current surveillance systems consist of large numbers of cameras. The video feeds from cameras are automatically processed for threat detection, which is a computationally intensive task. In order to meet the real-time requirements of surveillance, we need to distribute the video processing over multiple computers. Generally the cameras are statically assigned to the processors; we show that this is not a desirable solution as the workload for a particular camera may vary over time depending on the number of the targets in its view. In future, this uneven distribution of workload will become more critical as the sensing infrastructures are being deployed on the cloud. In this work, we model the camera workload as a function of the number of targets, and use that to dynamically assign video feeds to the processors. Experimental results show that the proposed model successfully captures the variability of the workload, and that dynamic workload assignment provides better results than a static assignment. © 2011 IEEE.
Source Title: Proceedings - IEEE International Conference on Multimedia and Expo
URI: http://scholarbank.nus.edu.sg/handle/10635/40712
ISBN: 9781612843490
ISSN: 19457871
DOI: 10.1109/ICME.2011.6012076
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