Abstract
The evolution of the Internet and the competitiveness among companies were factors in the explosion of Web services. Web services are applications available on the Internet each performing a particular task. Web users often need to call different services to achieve a more complex task that can’t be satisfied by a simple service. And users often prefer to have the best services responding to their requests. In this context, we should measure the Quality of Service (QoS) which is a very important aspect of Web services in order to offer to the user the best services. “How can we ensure the composition of different services to respond the user request” is the first problem that we contribute to resolve, proposing a multi-agent based model for the automatic planification of Web services. And “guarantee the required quality of the composite Web services” is a complex task regarding the unpredictable nature and dynamics of composite Web services, so our contribution to remedy to this problem consists of the use of two classes of quality attributes. The first one considers generic and the second contains specific attributes.
Highlights
Web services are applications available on the Internet performing each a special task, such as booking a flight ticket
In this paper, we proposed a multi-agent based model to solve the problem of Web service composition
Our contribution consists of the description of the detailed www.ijacsa.thesai.org functional architecture of each kind of agent used in our prototype
Summary
Web services are applications available on the Internet performing each a special task, such as booking a flight ticket. The use of Web services is very limited because they perform only one special task; for example, to go on vacation, a person will find a Web service for each booking he wants to achieve (plane, train, and hotel). To resolve this problem, Web services can be combined manually to form a single service; it is the composition of Web services. The last part of this paper presents a conclusion about our proposed model, and we exhibit some perspectives of our future research works
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