Doctoral Seminar: Jing Li

Speaker: Jing Li

Supervisor: Dr. Y. Yan

Examining Committee: Drs. C. Constantinides, T. Eavis, A. Hamou-Lhadj

Title: Full Solution Indexing for Top-K Web Service Composition

Date: Thursday, November 27, 2014

Time: 11:40

Place: EV 3.309

Abstract

More and more attention has been putting on web services with the technological innovation of computer, communication and network. With the advent of cloud computing, a significant number of web services are available on the Internet. An attractive advantage of service composition is: it fulfills complex tasks by combining different existing web services together. Unfortunately, optimizing service compositions is still a challenging area need to be addressed. The objective of this research project is to study QoS-aware service composition problem and solve it with a database. We propose a novel relational-database approach for the QoS-aware service composition problem. We generate possible service combinations beforehand and store them in a relational database. When a user request comes, our system composes SQL queries to search in the database and return K best QoS solutions. We test the performance of the proposed system with a web service challenge data set, it demonstrates that this system can always find top-K valid solutions to satisfy user’s non-functional requirements.