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教育资源服务下海量云存储优化机制的研究 被引量:2

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摘要 目前教育资源的数据量以爆发式增长,导致教育资源服务面临着海量数据管理困难、数据存储成本高、响应速度慢等难题。本文尝试从教育资源数据访问特性的角度出发,采用基于模糊c均值的聚类算法,建构相应的教育云存储的副本管理策略,以此来优化云存储的存储机制,从而提高教育资源的服务效率与质量。
出处 《中国教育信息化(高教职教)》 2014年第7期34-36,共3页 China Education Info
基金 厅级课题 广西高等学校科学技术研究项目(项目号2013YB215) 校级课题"面向教育资源服务的海量云存储优化机制的研究"(项目号2013B048)
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参考文献9

  • 1YIJIE WANG,SIJUN LI.Research and Performance Evaluation of Data Replication Technology in Distributed Storage Systems.In 2006 Computers and Mathematics with Applications,pages 1625-1632,2006.
  • 2Giuseppe De Candia,Deniz Hastorun,Madan Jampani,Gunavardhan Kakulapati,Avinash Lakshman,Alex Pilchin,PeterVosshall,Werner Vogels.Swaminathan Svasubramanian.Dynamo:Amazon's Highly Available Keyvalue Store[C].SOSP'07,October 14-17,2007.
  • 3Qingsong Wei,Bharadwaj Veeravalli,Bozhao Gong,etc.CDRM:A Cost-effective Dynamic Replication Management Scheme for Cloud Storage Cluster[C].2010 IEEE International Conference on Cluster Computing.
  • 4许信.云存储系统服务质量控制与可靠性技术研究[D].浙江大学,2011.1.
  • 5熊润群,罗军舟,宋爱波,金嘉晖.云计算环境下QoS偏好感知的副本选择策略[J].通信学报,2011,32(7):93-102. 被引量:29
  • 6Francisco Chinchilla,Mark Lindsey,Maria Papadopouli.Analysis of Wireless Information Locality and Association Patterns in a Campus.In IEEE,2004.
  • 7HUANG Lan,WANG Xiao-wei,ZHAI Yan-dong,YANG Bin.Extraction of User Profile Based on the Hadoop Framework.In IEEE,2009.
  • 8吴俊杰.层次存储的访问分析与优化方法研究[D].国防科学技术大学,2009.9.
  • 9李梦源,刘宴兵,肖云鹏.云计算下用户行为特征的服务选择策略[J].重庆邮电大学学报(自然科学版),2013,25(5):639-643. 被引量:6

二级参考文献36

  • 1DUAN Qiang. Modeling and performance analysis on net- work virtualization for composite Network-Cloud service provisioning [ C ]//Proceedings of SERVICES 2011, Washington, DC : IEEE, 2011 : 548-555.
  • 2HOBFELD T, SCHATZ R, VARELA M, et al. Challenges of QoEmanagement for cloud applications [ J ]. IEEECom- munications Magazine, 2012,50 ( 4 ) : 28-36.
  • 3WANG Shangguang, ZHENG Zibin, SUN Qibo, et al. Cloud model for service selection [ C ]//Proceedings of IEEE INFOCOM 2011 Worksshop on Cloud Computing. Shanghai : IEEE, 2011 : 666-671.
  • 4JACKSON K, LAVANYA R, MURISHNA K, et al. Per- formance analysis of high performance computing applica- tions on the Amazon web services cloud [ C ]//Proceed- ings of CLOUDCOM 2010. Indianapolis, IN : IEEE, 2010 : 159-168.
  • 5KLEIN A, ISHIKAWA F, HONIDEN S. Towards Network- aware service composition in the cloud [ C ]//Proceedings of the 21 st international conference on World Wide Web. New York : ACM ,2012 : 959-968.
  • 6ZHAO Laiping, REN Yizhi, LI Mingchu, et al. Flexible service selection with user-specific QoS support in serv- ice-oriented architecture [ J ]. Journal of Network Computer Applications,2012,35 (3) : 962-973.
  • 7FERRETFI S, GHINI V, PANZIERI F, et al. QoS-aware clouds [ C ]//Proceedings of Cloud Computing(CLOUD). 2010 IEEE 3rd International Conference. Miami, FL: IEEE ,2010:321-328.
  • 8NEWTON P,AROCKIAM L. A novel prediction technique to improve quality of service(QoS) for heterogeneous data traffic [ J ]. Journal of Intelligent Manufacturing, 2011,22 ( 6 ) : 867-872.
  • 9YU Qi, BOUGUETFAYA Athman. Computing service Skyline from uncertain QoWS [ J ]. IEEETransations on Services Computing,2010,3 ( 1 ) : 16-29.
  • 10DAVID D, MARTA P, HOSRP L,et al. Cooperative cache analysis for distributed search engines [ J ]. International Journal of hfformation Technology, Communications and Convergence ,2010,1 ( 1 ) :41-65.

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