TY - GEN
T1 - Cloud Ubiquitous Learning Approach Based on Multi-agents System
AU - Guettala, Manel
AU - Harous, Saad
AU - Bourekkache, Samir
AU - Athamena, Belkacem
AU - Kazar, Okba
AU - Houhamdi, Zina
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Adaptability
KW - Cloud computing
KW - Context-Awareness
KW - Isolation
KW - Multi-agent system
KW - Multi-tenancy
KW - personalized application
KW - Ubiquitous computing
KW - Ubiquitous Learning
UR - http://www.scopus.com/inward/record.url?scp=85146913256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146913256&partnerID=8YFLogxK
U2 - 10.1109/ACIT57182.2022.9994187
DO - 10.1109/ACIT57182.2022.9994187
M3 - Conference contribution
AN - SCOPUS:85146913256
T3 - Proceedings - 2022 23rd International Arab Conference on Information Technology, ACIT 2022
BT - Proceedings - 2022 23rd International Arab Conference on Information Technology, ACIT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Arab Conference on Information Technology, ACIT 2022
Y2 - 22 November 2022 through 24 November 2022
ER -