[1]何耀彬,张滇,齐力,等.面向大规模多层监控网络的资源优化方法(英文)[J].深圳大学学报理工版,2014,31(2):145-152.[doi:10.3724/SP.J.1249.2014.02145]
 He Yaobin,Zhang Dian,Qi Li,et al.Adaptive deployment optimization for a multi-layer surveillance network[J].Journal of Shenzhen University Science and Engineering,2014,31(2):145-152.[doi:10.3724/SP.J.1249.2014.02145]
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面向大规模多层监控网络的资源优化方法(英文)()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第31卷
期数:
2014年第2期
页码:
145-152
栏目:
电子与信息科学
出版日期:
2014-03-20

文章信息/Info

Title:
Adaptive deployment optimization for a multi-layer surveillance network
文章编号:
20140206
作者:
何耀彬1张滇2齐力3冯圣中1明仲2樊建平1
1)中国科学院深圳先进技术研究院,深圳 518055
2)深圳大学计算机与软件学院,深圳 518060
3)上海公安部第三研究所,上海 201204
Author(s):
He Yaobin1 Zhang Dian2 Qi Li3 Feng Shengzhong1 Ming Zhong2 and Fan Jianping1
1) Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R.China
2) College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, P.R.China
3) The Third Research Institute of Ministry of Public Security, Shanghai 201204, P.R.China
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
Keywords:
distributed processing system parallel computing data network queuing network deployment optimization load balancing surveillance networkd
分类号:
TN 915.08; TP 277
DOI:
10.3724/SP.J.1249.2014.02145
文献标志码:
A
摘要:
在建设大规模的视频监控网络时,面对监控终端随时传输过来的动态数据流问题,提出一种动态的数据量预测方法和优化设计方案.通过对系统均衡状态的理论分析,建立多层排队网络模型用以分析和预测视频监控网络的视频动态上传行为.基于此模型,对监控网络建设中的两个资源配置问题提出了优化方案.针对满足需求的最少资源配置问题,通过建模给出一种量化计算方法.对因突发事件随机暴增的上传数据流,设计了一种动态调整计算量的算法,可将超出负荷的数据流动态转移到其他可用的计算点,以保持整个系统的负载均衡,保证有效的响应时间.最后,通过一组实际环境下的实验验证了该分析和算法的有效性.
Abstract:
A profound design for a large distributed surveillance network system is proposed in this paper to efficiently 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 dynamic video stream uploading behaviors from surveillance network. Two optimization problems in the system are discussed, including minimal server deployment, and dynamic routing for a satisfied quality of service(QoS). Furthermore, 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.

参考文献/References:

[1] Peng Peng. 200 Thousand Monitors has been Built in Shenzhen [N/OL]. Xinhua Net, 2007-03-21. http: //news.xinhuanet.com/legal/2007-03/21/content_5876578.htm.(in Chinese)
彭蓬.深圳20万摄像头 “上岗” [N/OL].新华社,2007-03-21.http: //news.xinhuanet.com/legal/2007-03 /21/content_5876578.htm.
[2] Cheng Wei.500 thousand monitors guarding Chongqing[N/OL]. CBN, 2010-11-23.http: //www.yicai.com/news/2010/11/608181.html. (in Chinese)
程维.重庆50万个摄像头全城盯防[N/OL].第一财经日报,2010-11-23. http://www.yicai.com/news /2010/11/608181.html.
[3] Samari N,Schneider G.A queueing theory-based analytic model of a distributed computer network[J].IEEE Transactions on Computers,1980,29(11):994-1001.
[4] Wu D,Liu Y,Ross K W.Queuing network models for multi-channel p2p live streaming systems[C]// IEEE International Conference on Computer Communications. Rio de Janeiro(Brazil):IEEE Press,2009:73-81.
[5] Bertsekas, D,Gallager R.Data networks [M].2nd ed.Upper Saddle River(USA):Prentice Hall, 1992:221-233.
[6] Kumar R,Liu Y,Ross K.Stochastic fluid theory for P2P streaming systems[C]// IEEE International Conference on Computer Communications.Anchorage(USA):IEEE Press,2007:919-927.
[7] Wu Yu,Wu Chuan,Li Bo,et al.Cloudmedia:when cloud on demand meets video on demand[C]// The 31st International Conference on Distributed Computing Systems(ICDCS).Minneapolis(USA):[s.n.],2011: 268-277.
[8] Jagannathan K,Jiang L,Naik P L,et al.Scheduling strategies to mitigate the impact of bursty traffic in wireless networks[C]// The 11th International Symposium on Modeling & Optimization in Mobile,Ad Hoc & Wireless Networks (WiOpt).Tsukuba (Japan):IEEE Press,2013:468-475.
[9] Yang W P,Wang L C,Wen H P.A queueing analytical model for service mashup in mobile cloud computing[C]// IEEE Wireless Communications and Networking Conference (WCNC).Shanghai(China):IEEE Press,2013:2096-2101.
[10] Logothetis D,Olston C,Reed B,et al.Stateful bulk processing for incremental analytics[C]// Proceedings of the 1st ACM Symposium on Cloud Computing, SoCC’10.New York(USA):Association for Computing Machinery,2010:51-62.
[11] Peixoto M L M,Santana M J,Estrella J C,et al. A metascheduler architecture to provide QoS on the cloud computing[C]// The 17th International Conference on Telecommunications(ICT).Doha (Qatar):IEEE Press,2010:650-657.
[12] Wu C,Li B C,Zhao S Q.Multi-channel live P2P streaming: refocusing on servers[C]// IEEE International Conference on Computer Communications. Phoenix (USA):IEEE Press,2008:1355-1363.
[13] Arlitt M F,Williamson C L.Internet web servers:workload characterization and performance implications[J].IEEE/ACM Transactions on Networking,1997,5(5):631-645.

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备注/Memo

备注/Memo:
Received:2013-04-22;Revised:2013-08-30;Accepted:2014-02-10
Foundation:National Key Technology R&D Program(2012BAH07B01);National Natural Science Foundation of China(61202377)
Corresponding author:Engineer He Yaobin.E-mail:ho.frank@qq.com
Citation:He Yaobin,Zhang Dian,Qi Li,et al. Adaptive deployment optimization for a multi-layer surveillance network[J]. Journal of Shenzhen University Science and Engineering, 2014, 31(2): 145-152.
基金项目:国家科技支撑计划资助项目(2012BAH07B01);国家自然科学基金资助项目(61202377)
作者简介:何耀彬(1981-),男(汉族),广东省开平市人.中国科学院深圳先进技术研究院工程师、博士.E-mail:ho.frank@qq.com
引文:何耀彬,张滇,齐力,等.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,2014,31(2):145-152.(英文版)
更新日期/Last Update: 2014-03-20