Volume 17, Number 1

Which Approach of Evolution for a Service of Document Units Recommendation?

  Authors

Kiswendsida Kisito Kaboré , Désiré Guel , Justin Kouraogo , Bertin Kaboré , Université Joseph KI-ZERBO (UJKZ), Burkina Faso

  Abstract

Cloud computing is a major current trend that involves virtually distributing processing and data across configurable execution environments. Developing and deploying software for the cloud presents a new scientific challenge in terms of expressing and accounting for variability. Indeed, cloud computing relies on the principles of heterogeneity and elasticity, thus offering numerous configuration and scalability possibilities. Migrating existing applications therefore remains the primary challenge. Several types of migration exist, depending on the three services offered by the cloud. This article presents a study on application migration to the cloud in general, and more specifically on the migration of the Information Access Assistance Service (IA2S) application to cloud computing. Migrating existing systems to the cloud offers several advantages but also raises new challenges, particularly due to restrictions imposed by the service provider. Furthermore, factors such as time, training, and significant re-engineering make the migration process lengthy and prone to errors. Although several techniques exist for the partial or complete migration of existing applications to the cloud, only a few can overcome these constraints. Our work primarily consists, firstly, of clarifying the concepts of cloud and Information Access Assistance Service (IA2S), and then of studying existing migration strategies in order to propose the most suitable one for migrating IA2S to the cloud.

  Keywords

Application's migrations, Big Data, Cloud computing, Data migration, IAAS, IA2S, Recommendation system