| 一种基于Cloud-P2P计算架构的大规模病毒报告分析机制 |
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| 引用本文： | 徐小龙,吴家兴,杨庚. 一种基于Cloud-P2P计算架构的大规模病毒报告分析机制[J]. 北京理工大学学报, 2013, 33(12): 1253-1258 |
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| 作者姓名： | 徐小龙 吴家兴 杨庚 |
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| 作者单位： | 南京邮电大学计算机学院,江苏,南京210003;南京大学计算机软件新技术国家重点实验室,江苏,南京210046;南京邮电大学计算机学院,江苏,南京210003;江苏省无线传感网高技术研究重点实验室,江苏,南京210003 |
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| 基金项目： | 国家“九七三”计划项目（2011CB302903）；国家自然科学基金资助项目（61202004，61272084，61202353）；国家教育部高等学校博士学科点专项科研基金资助课题（20093223120001）；中国博士后科学基金资助项目（2012T50514，2011M500095）；江苏省自然科学基金资助项目（BK2011754，BK2009426）；江苏省博士后科研计划资助项目（1102103C）；江苏省高校自然科学研究计划资助项目（12KJB520007）；江苏省高校自然科学研究计划重大资助项目（11KJA520002） |
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| 摘 要： | 通过引入新型的云计算与对等计算融合模型Cloud-P2P，提出基于Cloud-P2P计算架构的大规模病毒报告分析机制. 该机制充分利用海量终端的计算能力，将针对大规模病毒报告的分析任务进行有效分割，并通过移动Agent有序部署到服务器端和终端节点上执行，从而有效降低服务器端的负载，提高系统的处理效率. 详细阐述了Cloud-P2P融合计算模型、基于移动Agent的任务部署与执行点选择机制以及基于Cloud-P2P计算架构的大规模病毒报告分析机制和原型系统，并从负载平衡、安全性、可靠性等方面进行了性能分析. 分析结果表明，机制具有良好的理论与实用参考价值.
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| 关 键 词： | 云计算 反病毒 病毒报告 云安全 |
| 收稿时间： | 2012-07-01 |
Large-Scale Virus Report Analysis Mechanism Based on the Cloud-P2P Architecture |
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| XU Xiao-long,WU Jia-xing and YANG Geng. Large-Scale Virus Report Analysis Mechanism Based on the Cloud-P2P Architecture[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2013, 33(12): 1253-1258 |
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| Authors: | XU Xiao-long WU Jia-xing YANG Geng |
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| Affiliation: | 1.College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu 210046, China2.College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China3.Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu 210003, China |
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| Abstract: | By introducing a new model integrated Cloud computing with P2P computing named Cloud-P2P into the mechanism, a large-scale virus report analysis mechanism based on the Cloud-P2P architecture is proposed. The massive computing power of terminals can be further utilized by the mechanism. The mechanism divides the large-scale jobs of virus analysis reports effectively, and deploys tasks to servers and terminals to implement with mobile agents, which effectively reduce the server loads and improve the overall system efficiency. The Cloud-P2P model, the mobile-agent-based deployment mechanism, the execution point selection mechanism and the prototype system are elaborated in detail. The system performance was analyzed from the following aspects: the load balancing, security and reliability. The conclusions show that the mechanism has a good theoretical and practical reference value. |
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| Keywords: | cloud computing anti-virus virus report cloud security |
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