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摘要:
In order to make system reliable, it should inhibit guarantee for basic service, data flow, composition of services, and the complete workflow. In service-oriented architecture (SOA), the entire software system consists of an interacting group of autonomous services. Some soft computing approaches have been developed for estimating the reliability of service oriented systems (SOSs). Still much more research is expected to estimate reliability in a better way. In this paper, we proposed SoS reliability based on an adaptive neuro fuzzy inference system (ANFIS) approach. We estimated the reliability based on some defined parameter. Moreover, we compared its performance with a plain FIS (fuzzy inference system) for similar data sets and found the proposed approach gives better reliability estimation.
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篇名 Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System
来源期刊 软件工程与应用(英文) 学科 工学
关键词 RELIABILITY Estimation SOA FUZZY RULE-BASED RELIABILITY Model SOFT COMPUTING
年,卷(期) 2014,(7) 所属期刊栏目
研究方向 页码范围 581-591
页数 11页 分类号 TP39
字数 语种
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研究主题发展历程
节点文献
RELIABILITY
Estimation
SOA
FUZZY
RULE-BASED
RELIABILITY
Model
SOFT
COMPUTING
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
软件工程与应用(英文)
月刊
1945-3116
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
885
总下载数(次)
0
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0
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