A multi-agent system approach for service deployment in the cloud
by Abdelhak Merizig; Okba Kazar; Maite Lopez Sanchez
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 23, No. 1, 2019

Abstract: Nowadays, cloud computing is regarded as a new paradigm in the field of information technology. Since the emergence of this paradigm, most of corporations have started using it through the deployment or the use of its services. Furthermore, service deployment in the cloud forms its kernel function. To ensure a good function of service deployment we need to combine a set of services. In fact, to find a limited number candidate services constitutes a problem due to the absence of a unified service description. In this paper, we propose a solution to solve the deployment problem by considering it as a service composition taking into account the quality of service. Since we have many atomic services, this paper transforms this composition problem into an optimisation problem. Moreover, to reduce the number of service candidates we propose a new service description language to assist the discovery process. The implementation of this model has been provided in order to evaluate our system. The obtained results demonstrate the effectiveness of our proposed system.

Online publication date: Tue, 07-May-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com