计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 306-309.doi: 10.11896/j.issn.1002-137X.2016.6A.073

• 无线网络与通信 • 上一篇    下一篇

基于用户行为特征的云计算资源可用性动态评价模型

许普乐,王杨,黄亚坤,韩文锴,赵传信   

  1. 安徽师范大学数学计算机科学学院 芜湖241000,安徽师范大学数学计算机科学学院 芜湖241000,安徽师范大学数学计算机科学学院 芜湖241000,安徽师范大学数学计算机科学学院 芜湖241000,安徽师范大学数学计算机科学学院 芜湖241000
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61572036),教育部人文社科青年基金(11YJC880119),安徽省高校人文社会科学类研究重大项目(SK2014ZD033),安徽省教育科学规划课题项目(JG14022)资助

Evaluation Model of Cloud Computing Resources Dynamic Usability Based on User Behavior Feature

XU Pu-le, WANG Yang, HUANG Ya-kun, HAN Wen-kai and ZHAO Chuan-xin   

  • Online:2018-11-14 Published:2018-11-14

摘要: 针对云计算资源分布集中、同一来源资源质量一致性强的特征,提出了一个基于用户行为特征的云计算资源可用性动态评价模型。首先利用资源来源质量、服务质量和特征信息,确定来源原始基准,并以此对原始资源进行评价。然后通过动态基准的方法,以动态误差和更新阈值为指标,在加入新资源时对原始基准进行校正,从而对所有资源进行重新评价。最后提出了以特征系数为核心的用户行为特征优化算法。

关键词: 动态基准,云计算资源,评价模型,特征系数

Abstract: According to the characteristics of cloud computing resources that they are usually centralized and consistent in quality,we proposed an evaluation model based on the concept of dynamic reference.We firstly determined the original reference and gave the resources an original evaluation utilizing the quality of sources,quality of service and characteristics of resources.Then we employed the difference of dynamic and refreshing threshold to adjust the reference into dynamic reference,which consequently enables us to reevaluate the resources.At last,we proposed the characteristic coefficient to further enhance the evaluation based on users’ behaviors.

Key words: Dynamic reference,Cloud computing resources,Evaluation model,Characteristic coefficient

[1] Varadharajan V,Tupakula U.Security as a Service Model forCloud Environment[J].IEEE Transactions on networks and service managment,2014,1(1):60-74
[2] Mustakerov I,Borissova D.A conceptual approach for development of educational Web-based e-testing system[J].Expert Systems with Applications,2011,38(11):14060-14064
[3] Wu Gang,Wei Yi-min.An Arnoldi-extrapolation algorithm for computing PageRank[J].Journal of Computational and Applied Mathematics,2010,234(11):3196-3212
[4] Boldi P,Santni M,Vigna S.PageRank as a function of the dam-ping factor[C]∥Proceedings of the 14th International Conference on World Wide Web.USA:ACM Press,2005:557-566
[5] Klenberg J M.Authoritative sources in a hyper-linked environment[J].Journal of the ACM,1999,46(5):604-632
[6] Hersovici M,Jacovi M,Maarek Y S.The shark-search algo-rithm-An application[C]∥Proceedings of the 7th International World Wide Web Conference.Brisbane,Australia:ACM Press,1998:317-326
[7] Kang Fu-wei,Liu Xiao-dong.A Personalized Ranking Approach via Incorporating Users Click Link Information into PageRank Algorithm[J].Energy Procedia,2011,13:275-284
[8] Zhai Cheng-xiang.Statistical language models for informationretrieval a critical review[J].Foundations and Trends in Information Retrieval,2008,2(3):137-213
[9] 陈付龙,周雯,王杨,等.基于Agent的云计算资源预选择分层模型[J].计算机工程,2009,39(9):119-122
[10] 王杨,杨娜娜,陈付龙,等.基于模糊集和RSS的云计算资源Rank算法[J].计算机技术与发展,2013,23(2):127-130
[11] 余辉,齐丹,李恒达,等.基于动态基准法的无创血糖检测实验应用研究[J].光谱学与光谱分析,2012,32(3):770-774
[12] 林伯香,孙晶梅,刘起弘,等.关于动态基准面概念的讨论[J].石油物探,2005,44(1):94-97

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!