Title :
A Novel Online Reliability Prediction Approach for Service-Oriented Systems
Author :
Hongbing Wang ; Lei Wang ; Qi Yu ; Zibin Zheng
Author_Institution :
Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
fDate :
June 27 2014-July 2 2014
Abstract :
Service composition is an emerging technology in System of Systems Engineering (SoS Engineering or SoSE), which aims to construct a robust and value-added complex system by outsourcing external component systems. A serviceoriented SoS runs under a dynamic and uncertain environment. To assure the overall Quality of Service (QoS), online reliability time series prediction, which aims to predict the reliability in near future for service-oriented SoS arises as a grand challenge in SoS research. In this paper, we tackle the prediction challenge by exploiting two Markov independence assumptions resulted from the special system dynamics of a SoS environment. A novel motifs-based Dynamic Bayesian Networks model is proposed that supports the independence assumptions. Experimental results conducted on real Web services demonstrate the effectiveness of our approach.
Keywords :
Web services; belief networks; quality of service; software reliability; QoS; SoSE; Web services; motifs-based dynamic Bayesian networks; online reliability prediction approach; online reliability time series prediction; quality of service; service composition; service-oriented systems; system-of-systems engineering; Markov processes; Quality of service; Reliability; Throughput; Time factors; Time series analysis; Web services; Markov independence assumption; Online reliability prediction; service-oriented system; system of system;
Conference_Titel :
Web Services (ICWS), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5053-9
DOI :
10.1109/ICWS.2014.87
