IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Autonomic Execution of Web Service Composition Using AI Planning Method

Autonomic Execution of Web Service Composition Using AI Planning Method
View Sample PDF
Author(s): Chao-Qun Yuan (Multimedia University, Malaysia)and Fang-Fang Chua (Multimedia University, Malaysia)
Copyright: 2019
Pages: 21
Source title: Web Services: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7501-6.ch079

Purchase

View Autonomic Execution of Web Service Composition Using AI Planning Method on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Mohib Ullah, Arbab Waseem Abbas, Lala Rukh, Kamran Ullah, Muhammad Inam Ul Haq. © 2023. 25 pages.
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi, Imran Ihsan. © 2023. 20 pages.
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi. © 2023. 17 pages.
Shaukat Ali, Shah Khusro, Mumtaz Khan. © 2023. 34 pages.
Tayyaba Riaz, Iftikhar Alam. © 2023. 20 pages.
Ufuk Uçak, Gurkan Tuna. © 2023. 22 pages.
Muhammad Hamad, Altaf Hussain, Majida Khan Tareen. © 2023. 21 pages.
Body Bottom