RARS: a Resource-Aware Replica Selection and co-allocation scheme for mobile grid

Chang, Yue-Shan; Zou, Guo-Jie; Chang, Ching-Lung

doi:10.1504/ijahuc.2010.034323

Cited by 4 publications

(2 citation statements)

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“…Due to the bandwidth variance of PNs, each replica's bandwidth may be different. Therefore, we can apply adaptive algorithm [32] to dynamically adjust video data size from each replica according to some criteria, such as bandwidth, connection stability, distance, and PN's computing capability.…”

Section: Video Monitoringmentioning

confidence: 99%

“…RS is responsible for finding appropriate replicas for PN in order to form a RG. In order to improve access performance among the replicas of RG in a dynamic environment, we referred to resource-aware replica selection proposed by Chang et al [32]. The RS will select appropriate PNs as the replicas according to every PN's states that contain number of replications in the node, node's bandwidth, and connection stability.…”

Section: Architecture Of a Large-scale Video Surveillance Systemmentioning

confidence: 99%

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Implementation and Evaluation of Large-Scale Video Surveillance System Based on P2P Architecture and Cloud Computing

Chang

Sheu

et al. 2014

International Journal of Distributed Sensor Networks

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Video surveillance system (VSS) is increasingly becoming important part in daily life. For traditional VSS, each camera stores streaming data to a centralized server. It will create a great volume of video data for a large VSS and may raise some issues in keeping daily video data to centralized server, such as limited bandwidth and storage insufficiency of server and lower reliability and scalability. In order to solve the problem, we have proposed an architecture for VSS based on well-developed peer-to-peer technique and emerging cloud computing. In this paper, we implement a large-scale VSS (LVSS) and propose an evaluation framework based on the proposed architecture. We implement the LVSS exploits inherent characteristics of P2P and cloud computing to provide an economic, scalable, reliable, and efficient approach to store streaming video. We conducted some experiments to evaluate effectiveness and efficiency of the system. The result shows that the proposed architecture outperforms traditional VSS in terms of effectiveness, efficiency, reliability, and scalability.

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Section: Video Monitoringmentioning

confidence: 99%

Section: Architecture Of a Large-scale Video Surveillance Systemmentioning

confidence: 99%