Automated Holistic Service Composition: Modeling and Composition Reasoning Techniques

Zhu，Wei1; Bastani，Farokh1; Yen，I. Ling1; Fu，Jicheng2; Zhang，Yuqun3

10.1109/ICWS.2017.70

2017-09-07

Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017

596-603

Honolulu, HI, United states

Institute of Electrical and Electronics Engineers Inc.

Many real-world applications are complex, involving many user 'choices', such as different functionalities, different ways to achieve a goal, etc. Conventional automated service composition models do not consider such potential choices, or simply consider them independently. Also, existing service composition models do not model exceptions and automated composition approaches require that after an exception, the original system goal should still be achieved. This may not be feasible for some exceptions. Thus, the service composition model should also consider alternate goals after exceptions occur. In this paper, we first define the concept of multi-functionality and develop a holistic service composition model. Since most existing composition reasoning techniques can only handle a single functionality, we extend them and develop new algorithms for automated holistic service composition. A case study system is used to illustrate how our approach automatically generates a holistic workflow for a system with multiple functionalities.

automated service composition multi-functionality systems planning algorithms Service-oriented computing

其他

英语

CPCI-S ; EI

WOS:000427074500075

20174404329475

Automation ; Distributed computer systems ; Quality of service ; Software agents ; Websites

Digital Computers and Systems:722.4 ; Automatic Control Principles and Applications:731

2-s2.0-85032353259

Scopus

1.University of Texas,Dallas,United States
2.University of Central,United States
3.Southern University of Science and Technology,Shenzhen,China

Zhu，Wei,Bastani，Farokh,Yen，I. Ling,et al. Automated Holistic Service Composition: Modeling and Composition Reasoning Techniques[C]:Institute of Electrical and Electronics Engineers Inc.,2017:596-603.