SADICO: Self-ADaptIve Approach to the Web Service COmposition

2017 ◽  
pp. 254-267
Author(s):  
Hajer Nabli ◽  
Sihem Cherif ◽  
Raoudha Ben Djmeaa ◽  
Ikram Amous Ben Amor
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Adaptive Approach ◽  
The Web ◽  
Self Adaptive

Autonomic Execution of Web Service Composition Using AI Planning Method

Web Services ◽  
2019 ◽  
pp. 1530-1550
Author(s):  
Chao-Qun Yuan ◽  
Fang-Fang Chua
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Web Service Composition ◽  
Automated System ◽  
Ai Planning ◽  
Dynamic Factors ◽  
Service Oriented ◽  
Business Requirements ◽  
The Web

Web Service Composition is one of the technologies in Service Oriented Architecture which significantly increases the flexibility and reusability of developing service-oriented system. One of the major problems which occurs in web service composition is the difficulties of maintaining the existing running web service composition solutions due to the changes of business requirements, deployment environment, and other dynamic factors. In this proposed work, an automated system had been built to autonomously execute the web service composition. To achieve this objective, the authors had embedded semantic engine and Prolog in C# program to automatically and dynamically discover, compose and execute web service composition, i.e. a web service composition could be self-configured to automatically recover from execution failure and automatically re-generate composition solution due to business protocol changes.

scholarly journals An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Deivamani Mallayya ◽  
Baskaran Ramachandran ◽  
Suganya Viswanathan
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Applications ◽  
Web Service Composition ◽  
User Preferences ◽  
User Preference ◽  
Global Constraints ◽  
Service Ranking ◽  
The Web

Web service has become the technology of choice for service oriented computing to meet the interoperability demands in web applications. In the Internet era, the exponential addition of web services nominates the “quality of service” as essential parameter in discriminating the web services. In this paper, a user preference based web service ranking (UPWSR) algorithm is proposed to rank web services based on user preferences and QoS aspect of the web service. When the user’s request cannot be fulfilled by a single atomic service, several existing services should be composed and delivered as a composition. The proposed framework allows the user to specify the local and global constraints for composite web services which improves flexibility. UPWSR algorithm identifies best fit services for each task in the user request and, by choosing the number of candidate services for each task, reduces the time to generate the composition plans. To tackle the problem of web service composition, QoS aware automatic web service composition (QAWSC) algorithm proposed in this paper is based on the QoS aspects of the web services and user preferences. The proposed framework allows user to provide feedback about the composite service which improves the reputation of the services.

Mechanisms for Automatic Web Service Composition

2010 ◽  
pp. 175-186
Author(s):  
Quan Yuan ◽  
Mihai Fonoage ◽  
Ionut Cardei
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Web Services Composition ◽  
Services Composition ◽  
Composition Methods ◽  
Efficient Integration ◽  
The Web

This chapter introduces the web services composition as a means of studying efficient integration of the existing web services to satisfy users’ requirements. It discusses the web services composition definition, combined with the current web services composition methods, and divides those methods into two categories: AI-based methods and Non-AI methods. Also, the authors present the features and the comparison of these two categories, to assist researchers in the understanding of web service composition in a variety of contexts.

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