Title: SaaS-DCS: software-as-a-service discovery and composition system-based existence degree

Authors: Hamza Saouli; Okba Kazar; Aïcha Nabila Benharkat

Addresses: LINFI Laboratory, Computer Science Department, University of Biskra, 07000, Biskra, Algeria ' LINFI Laboratory, Computer Science Department, University of Biskra, 07000, Biskra, Algeria ' National Institute of Application Science, Laboratoire d'InfoRmatique en Image et Systèmes d'information, Bâtiment Blaise Pascal, 7 av. Jean Capelle, 69621 Villeurbanne Cedex, Lyon, France

Abstract: Software-as-a-service (SaaS) is one of the most important delivery models for cloud computing technology. Recently, this model is widely produced, adopted, and used by organisations and particular consumers. The rapid adoption of SaaS model and the exponential growth in number and functionalities of the applications offered by cloud services providers led us to propose an automatic publication, discovery and composition system. The proposed system takes into consideration the main aspects of SaaS products: categorisation, functional, QoS and cloud attributes. We use these aspects to propose a complete SaaS description model. Then, we use it to propose service matchmaking algorithms for SaaS selection, composition and ranking based on a new concept called 'existence degree'. A prototypical implementation is conducted in order to evaluate our system. The obtained results demonstrate the effectiveness of the proposed system.

Keywords: cloud computing; software-as-a-service; SaaS; discovery models; selection; composition; ranking; distributed systems; services characteristics; semantic matching; WSDL; service quality; existence degree; categorisation; functional attributes; QoS; quality of service; cloud attributes; service matchmaking.

DOI: 10.1504/IJCNDS.2015.069670

International Journal of Communication Networks and Distributed Systems, 2015 Vol.14 No.4, pp.339 - 378

Received: 29 Mar 2014
Accepted: 17 Aug 2014
Published online: 29 May 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article