深圳大学学报（理工版）Issue(2)：145-152,8.DOI:10.3724/SP.J.1249.2014.02145
面向大规模多层监控网络的资源优化方法
Adaptive deployment optimization for a multi-layer surveillance network
摘要
Abstract
A profound design for a large distributed surveillance network system is proposed in this paper to efficient-ly quantify and predict the dynamic incoming data flows of video system surveillance. Through making a theoretical analysis on the equilibrium demand of the system, a new queuing network model is introduced to characterize the dy-namic video stream uploading behaviors from surveillance network. Two optimization problems in the system are dis-cussed, including minimal server deployment, and dynamic routing for a satisfied quality of service( QoS) . Further-more, the new design and the proposed optimization algorithms are evaluated in a realistic environment. It is able to dynamically redirect the bursty requests flow to the sufficient nodes to avoid the overflow of the queueing and to keep the system response in time.关键词
分布式处理系统/并行计算/数据网络/排队网络/资源配置优化/负载均衡/视频监控网络Key words
distributed processing system/parallel computing/data network/queuing network/deployment optimi-zation/load balancing/surveillance networkd分类
信息技术与安全科学引用本文复制引用
何耀彬,张滇,齐力,冯圣中,明仲,樊建平..面向大规模多层监控网络的资源优化方法[J].深圳大学学报（理工版）,2014,(2):145-152,8.基金项目
国家科技支撑计划资助项目(2012BAH07B01) （2012BAH07B01）
国家自然科学基金资助项目(61202377)@@@@National Key Technology R&D Program (2012BAH07B01) （61202377）
National Natural Science Foundation of China (61202377) （61202377）
