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Future Internet 2018, 10(4), 34; https://doi.org/10.3390/fi10040034

Replicas Strategy and Cache Optimization of Video Surveillance Systems Based on Cloud Storage

1
School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China
2
Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China
*
Author to whom correspondence should be addressed.
Received: 17 March 2018 / Revised: 7 April 2018 / Accepted: 8 April 2018 / Published: 10 April 2018
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Abstract

With the rapid development of video surveillance technology, especially the popularity of cloud-based video surveillance applications, video data begins to grow explosively. However, in the cloud-based video surveillance system, replicas occupy an amount of storage space. Also, the slow response to video playback constrains the performance of the system. In this paper, considering the characteristics of video data comprehensively, we propose a dynamic redundant replicas mechanism based on security levels that can dynamically adjust the number of replicas. Based on the location correlation between cameras, this paper also proposes a data cache strategy to improve the response speed of data reading. Experiments illustrate that: (1) our dynamic redundant replicas mechanism can save storage space while ensuring data security; (2) the cache mechanism can predict the playback behaviors of the users in advance and improve the response speed of data reading according to the location and time correlation of the front-end cameras; and (3) in terms of cloud-based video surveillance, our proposed approaches significantly outperform existing methods. View Full-Text
Keywords: video surveillance system; cloud storage; replicas strategy; cache optimization video surveillance system; cloud storage; replicas strategy; cache optimization
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Li, R.; Zhang, J.; Shen, W. Replicas Strategy and Cache Optimization of Video Surveillance Systems Based on Cloud Storage. Future Internet 2018, 10, 34.

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