电子学报 ›› 2015, Vol. 43 ›› Issue (5): 987-992.DOI: 10.3969/j.issn.0372-2112.2015.05.023

• 科研通信 • 上一篇    下一篇

基于云模型的SaaS决策方法

张龙昌1, 杨艳红2, 赵绪辉1   

  1. 1. 渤海大学信息科学与技术学院, 辽宁锦州 121013;
    2. 渤海大学图书馆, 辽宁锦州 121013
  • 收稿日期:2014-01-20 修回日期:2014-06-24 出版日期:2015-05-25
    • 作者简介:
    • 张龙昌 男,1977年生于辽宁岫岩.博士(博士后),副教授,硕士生导师,CCF会员.研究方向为服务计算、云计算、物联网.E-mail:zlc_041018@163.com;杨艳红 女,1977年生于辽宁岫岩.硕士,馆员.研究方向为数字图书馆、服务计算.
    • 基金资助:
    • 国家自然科学基金 (No.41371425); 教育部人文社会科学研究青年基金 (No.12YJC870030); 辽宁省社会科学规划基金 (No.L12CTQ008)

SaaS Decision-Making Method Based on Cloud Model

ZHANG Long-chang1, YANG Yan-hong2, ZHAO Xu-hui1   

  1. 1. College of Information Science and Technology, Bohai University, Jinzhou, Liaoning 121013, China;
    2. Library, Bohai University, Jinzhou, Liaoning 121013, China
  • Received:2014-01-20 Revised:2014-06-24 Online:2015-05-25 Published:2015-05-25
    • Supported by:
    • National Natural Science Foundation of China (No.41371425); Youth Fund of Humanities and Social Science Research Projects of Ministry of Education of China (No.12YJC870030); Social Science Planning Fund of Liaoning Province (No.L12CTQ008)

摘要:

用户评分的模糊性、随机性表现出服务质量(QoS)的不确定性是软件即服务(SaaS)最优服务选择研究的难题之一.提出一种基于云模型的SaaS服务决策方法(SDM_CM)以解决上述难题.该方法首先使用逆向QoS云发生器将评分描述的QoS指标转换为云模型描述的QoS指标;接着借鉴多属性决策分析中常用、有效的多属性决策算法-优劣解距离法(TOPSIS),提出基于云模型的SaaS最优服务决策算法.最后,在真实的服务质量数据基础上,验证了该方法的优越性和有效性.

关键词: 云模型, 软件及服务, 用户评分, 不确定性, 优劣解距离法

Abstract:

The optimal software as a service (SaaS) selection based on Quality of Service (QoS) is still challenging because user rating with fuzziness and randomness makes QoS uncertain and decision-making hard.This paper presents a SaaS decision-making method based on cloud model (SDM_CM) to solve the above difficulties for the first time.It includes two main steps:(1) Converting the rating QoS criteria to the cloud model QoS criteria by using the backward QoS cloud generator.(2) Proposing a multiple attribute decision-making algorithm based on cloud model,which draws on the effective and common multiple attribute decision-making algorithm (technique for order preference by similarity to an ideal solution,TOPSIS).The last,a set of experiments demonstrate the benefits and effectiveness of our approach.

Key words: cloud model, software as a service (SaaS), user rating, uncertain, technique for order preference by similarity to an ideal solution (TOPSIS)

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