With the development of cloud computing technologies and the multiplication of enterprise architecture reference frameworks, the industrials are encouraged to take into account the new concepts of cloud service in the evolution of their information system strategies. The present paper starts by presenting background concepts and the state of the art of the enterprise architecture, in order to propose a maturity model that helps enterprises to build and evaluate a functional component of their Information System architecture and allow them to qualify its externalization to the Cloud Computing as well as its monitoring.
Software-as-a-Service (SaaS) is a new delivery model, that involves providing applications to the customer on demand over the Internet. SaaS promotes multi-tenancy as a tool to exploit economies of scale. However, the flexibility of an application to be adapted to individual tenant's needs is a major requirement. Thus, we initiate in this paper to an approach proposing a more flexible and reusable SaaS system for multi tenancy. This approach consist on integrating a functional variability using Rich-Variant Components with a deployment variability enabling the customers to choose with which others tenants they want or don't want to share instances. The approach presented enables exploiting the economies of scale while avoiding the problem of customers' hesitation about sharing with other tenants.
IT managers and decision makers permanently need support tools to make decision for adopting new solutions and services such as cloud computing. This paper introduces a maturity assessment model of an Information System architecture functional block in the aim of outsourcing to cloud services. This model considers the fundamental requirements arising from the literature, best practices, and standards in the domain. Thus, this model provides a new added value for the opening of enterprise architectures to new technologies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.