Cloud Ubiquitous Learning Approach Based on Multi-agents System

• Main Authors: Guettala, Manel, Harous, Saad, Bourekkache, Samir, Athamena, Belkacem, Kazar, Okba, Houhamdi, Zina
• Format: Conference Proceeding
• Language: English
• Subjects: Adaptability; Cloud computing; Computer architecture; Context-Awareness; Isolation; Multi-agent system; Multi-tenancy; personalized application; Servers; Software as a service; System software; Ubiquitous computing; Ubiquitous Learning; Virtual machining
• ISSN: 2831-4948
• DOI: 10.1109/ACIT57182.2022.9994187

Information technology (IT) plays an important role in the education field, with ubiquitous computing technology the ubiquitous learning (U-Iearning) is now a practical possibility. Cloud computing can offer many benefits to the learning field, as it provides all resources such as software (SaaS), platforms (PaaS), and infrastructure (IaaS) as a service. The multi-agent systems approach is an excellent way to implement flexible systems whose structure evolves dynamically. Based on the discussion of the benefits of cloud computing and the multi-agent systems approach to support adaptive and personalized learning content, the paper presents a hybrid approach based on cloud computing that uses the multi-tenant architecture where tenants share the system software. Multi-agent system is used in this approach to support a ubiquitous learning system. A multi-tenant SaaS application addresses the unique requirements of each tenant by enabling customization at the tenant level with the adoption of the concept ofvirtualization (virtual machines). This paper explores the challenges of achieving performance isolation in the context of multi-tenant SaaS applications. As an output of this study, U- learning on the cloud-based multi-agent system architecture has been proposed. To achieve lower cost of resources and server allocation and provide isolation among learners in the ubiquitous learning environment.