A Novel Clustering-based Approach for SaaS Services Discovery in Cloud Environment

摘要

Cloud computing is an emerging new computing paradigm in which both software and hardware resources are provided through the internet as a service to users. Software as a Service (SaaS) is one among the important services offered through the cloud that receive substantial attention from both providers and users. Discovery of services is however, a difficult process given the sharp increase of services number offered by different providers. A Multi-agent system (MAS) is a distributed computing paradigm-based on multiple interacting agents-aiming to solve complex problems through a decentralized approach. In this paper, we present a novel approach for SaaS service discovery based on Multi-agents systems in cloud computing environments. More precisely, the purpose of our approach is to satisfy the user's needs in terms of both result accuracy rate and processing time of the request. To establish the interest of the proposed solution, experiments are conducted on a simulated dataset.