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| 熊永华,张因升,陈鑫,吴敏.云视频监控系统的能耗优化研究.软件学报,2015,26(3):680-698 |
| 云视频监控系统的能耗优化研究 |
| Research of Energy Consumption Optimization Methods for Cloud Video Surveillance System |
| 投稿时间：2013-04-21 修订日期：2014-11-04 |
| DOI：10.13328/j.cnki.jos.004763 |
| 中文关键词: 云视频监控 能耗优化 监控节点 计算节点 存储节点 |
| 英文关键词:cloud video surveillance energy optimization monitoring node computing node storage node |
| 基金项目:国家自然科学基金(61202340, 61473316); 中国博士后基金国际交流派出计划(20140011); 中南大学中央高校基本科研业务费专项资金(2014zzts229) |
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| 摘要点击次数: 6013 |
| 全文下载次数: 3930 |
| 中文摘要: |
| 随着基于云计算的视频监控系统(以下简称云视频监控系统)的兴起,其无限扩展的终端设施、众多的物理服务器、频繁的网络传输等所带来的能耗问题不容忽视.分析了云视频监控系统的体系结构、能耗的产生及其优化机理,并将云视频监控系统的能耗研究分为监控节点、物理节点和存储节点这3个层次;然后,结合国内外应用于传感器网络和云计算数据中心的相关能耗优化理论与方法,分别对3个层面上的云视频监控系统的能耗优化方法进行综述,并进行了深入的分析和比较;最后,针对当前的研究空缺和问题,提出今后可能的研究方向和重点,并进行了总结. |
| 英文摘要: |
| With the rise of the video surveillance system based on cloud computing (hereinafter referred to as the cloud video surveillance system), its complex energy consumption problems, brought by the terminal facilities, physical servers and frequent network- transmissions, can't be ignored. In this paper, the architecture and mechanism of energy consumption optimization of the system are introduced. Then, the energy consumption optimization researches are categorized into three levels: monitoring node, computing node and storage node. Next, considering the existing energy optimization theories and methods applied to the sensor networks and the generalized cloud computing data center, the energy consumption optimization methods for cloud video surveillance system are analyzed and compared with respect to the upper three levels. Finally, several key problems and future research directions for reducing the comprehensive energy consumption of the system are discussed. |
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