Critical Components Identification for Service-Oriented Systems

被引:3
作者
Zhang, Xiuguo [1 ]
Jiang, Shuo [1 ]
Qiao, Xinghao [1 ]
Cao, Zhiying [1 ]
Zhang, Liangjun [1 ]
机构
[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China
来源
SYMMETRY-BASEL | 2019年 / 11卷 / 03期
基金
中国国家自然科学基金;
关键词
ranking; LeaderRank; service dependency graph; critical components; service-oriented systems (SOSs);
D O I
10.3390/sym11030427
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Identifying critical components are of great significance to the overall reliability of service-oriented systems (SOSs). As the size of the SOS increases, identifying critical components in the process of predicting the SOS reliability can reduce the number of components that need to be predicted and shorten the prediction time. Moreover, predicting the reliability of critical components can also ensure the stability of the SOS. Therefore, we transform the relationships among service components of the SOS into a service dependency graph. Then, an improved weighted LeaderRank algorithm (IW-LeaderRank) is proposed to measure the importance of components and obtain the sequence of critical components. Through experimental analysis, the method can accurately and efficiently identify critical components in SOSs.
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页数:13
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