SaaS Decision-Making Method Based on Cloud Model

ZHANG Long-chang; YANG Yan-hong; ZHAO Xu-hui

doi:10.3969/j.issn.0372-2112.2015.05.023

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SaaS Decision-Making Method Based on Cloud Model

更新时间：2025-07-16

- SaaS Decision-Making Method Based on Cloud Model
- Acta Electronica Sinica Vol. 43, Issue 5, Pages: 987-992(2015)
- 作者机构：
  
  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
  3. 渤海大学信息科学与技术学院,辽宁,锦州,121013
  4. 渤海大学图书馆,辽宁,锦州,121013
- 作者简介：
- 基金信息：
  
  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)
- DOI：10.3969/j.issn.0372-2112.2015.05.023
  CLC： TP311.5
- Published：2015
- 稿件说明：
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ZHANG Long-chang, YANG Yan-hong, ZHAO Xu-hui. SaaS Decision-Making Method Based on Cloud Model[J]. Acta Electronica Sinica, 2015, 43(5): 987-992.
DOI：

ZHANG Long-chang, YANG Yan-hong, ZHAO Xu-hui. SaaS Decision-Making Method Based on Cloud Model[J]. Acta Electronica Sinica, 2015, 43(5): 987-992. DOI： 10.3969/j.issn.0372-2112.2015.05.023.

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.

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.

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