期刊文献+

一种基于P2P网络技术的复合知识云模型 被引量:4

A Multiplex Knowledge Cloud Model Based on P2P Network Technology
下载PDF
导出
摘要 为了支持信息量和用户数均规模庞大的网络知识共享系统,必须采用先进的信息技术,云计算技术是理想的选择,但是仅采用云计算技术来构建知识共享系统还存在着一系列问题。文中将对等网络和云计算技术应用于大规模网络知识共享系统,提出了一种基于对等网络技术的复合知识云模型。模型本着平等、协作、分享、自由的互联网精神,并利用对等网络技术所推崇的"节点对等"思想,所有人不但共同贡献智慧和知识来协作编写百科全书,还充分调动互联网所有用户的力量,共同贡献各个用户计算机上的计算、存储资源和各种数据、软件等信息资源。基于该模型可以构建一种比现有的各种网络百科全书更为灵活、更为可靠、资源共享更为广泛的知识信息资源共享平台。文中还详细描述了基于对等网络技术的复合知识云模型MKCM(Multiplex Knowledge Cloud Model)的体系结构和工作流程,并深入探索了复合知识云模型的知识评价机制,对知识的价值进行有效的评价,从而选择最有价值的知识数据备份至服务器端以提高系统的整体性能。 In order to support network knowledge-sharing systems with the large-scale amount of information and the great number of users,advanced information technologies have to be adopted.The Cloud Computing is the ideal option.However,using the traditional Cloud Computing technology to build knowledge sharing systems can′t solve all issues.In this paper,we describe how to apply Peer-to-Peer networks and Cloud Computing technologies in large-scale network knowledge-sharing systems,and present a multiplex knowledge cloud model based on P2P network technology.The model conforms to the principles of equality,cooperation,sharing and freedom of the spirit of the Internet.With the idea of ″peer to peer″,all users not only contribute their wisdom and knowledge to prepare encyclopedia collaboratively,but also to contribute their computing and storage resources,and data,software and other information resources.Based on this model it is easy to construct a resource sharing knowledge and information resources sharing platform,which is more flexible,more reliable and more extensive than the current online encyclopedia systems.This paper describes the architecture and workflow of the multiplex knowledge cloud model based on P2P network technology named MKCM,and explore the knowledge evaluation mechanism of the model,which is important for selecting the most valuable knowledge data backup to the server side to improve the system overall performance.
出处 《南京邮电大学学报(自然科学版)》 2011年第3期37-43,49,共8页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 教育部科技发展研究中心网络时代的科技论文快速共享专项研究课题 教育部高等学校博士学科点专项科研基金(20093223120001) 国家重点基础研究发展计划(973计划)(2011CB302903) 国家自然科学基金(60873231) 江苏省自然科学基金(BK2009426) 江苏省科技支撑计划(BE2009158) 江苏省高校自然科学基金(09KJB520010)资助项目
关键词 对等网络 云计算 知识共享 知识评价 peer-to-peer networks cloud computing knowledge-sharing knowledge evaluation
  • 相关文献

参考文献2

二级参考文献36

  • 1Sims K. IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing. 2007. http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
  • 2Boss G, Malladi P, Quan D, Legregni L, Hall H. Cloud computing. IBM White Paper, 2007. http://download.boulder.ibm.com/ ibmdl/pub/software/dw/wes/hipods/Cloud_computing_wp_final_8Oct.pdf
  • 3Zhang YX, Zhou YZ. 4VP+: A novel meta OS approach for streaming programs in ubiquitous computing. In: Proc. of IEEE the 21st Int'l Conf. on Advanced Information Networking and Applications (AINA 2007). Los Alamitos: IEEE Computer Society, 2007. 394-403.
  • 4Zhang YX, Zhou YZ. Transparent Computing: A new paradigm for pervasive computing. In: Ma JH, Jin H, Yang LT, Tsai JJP, eds. Proc. of the 3rd Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2006). Berlin, Heidelberg: Springer-Verlag, 2006. 1-11.
  • 5Barroso LA, Dean J, Holzle U. Web search for a planet: The Google cluster architecture. IEEE Micro, 2003,23(2):22-28.
  • 6Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 1998,30(1-7): 107-117.
  • 7Ghemawat S, Gobioff H, Leung ST. The Google file system. In: Proc. of the 19th ACM Symp. on Operating Systems Principles. New York: ACM Press, 2003.29-43.
  • 8Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters. In: Proc. of the 6th Symp. on Operating System Design and Implementation. Berkeley: USENIX Association, 2004. 137-150.
  • 9Burrows M. The chubby lock service for loosely-coupled distributed systems. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 335-350.
  • 10Chang F, Dean J, Ghemawat S, Hsieh WC, Wallach DA, Burrows M, Chandra T, Fikes A, Gruber RE. Bigtable: A distributed storage system for structured data. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 205-218.

共引文献1322

同被引文献20

引证文献4

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部