Design of a Cloud Learning System Based on Multi-Agents Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 3
Abstract
Cloud Computing can provide many benefits for university. It is a new paradigm of IT, which provides all resources such as software (SaaS), platform (PaaS) and infrastructure (IaaS) as a service over the Internet. In cloud computing, user can access the services anywhere, at any time and using any devices (Smart phones, tablet computers, laptops, desktops…). Multi-Agents System approach provides ideal solution for open and scalable systems whose structure can be changed dynamically. Educational institutions all over the world have already adapted the cloud to their own settings and made use of its great potential for innovation. Based on the analysis of the advantages of cloud computing and multi-agents system approach to support e-learning session, the paper presents a complete design and experimentation of a new layer in cloud computing called Smart Cloud Learning System.
Authors and Affiliations
Mohammed BOUSMAH, Ouidad LABOUIDYA, Najib KAMOUN
Keywords
Related Articles
- EP ID EP148048
- DOI 10.14569/IJACSA.2015.060303
- Views 130
- Downloads 0
Bi-Objective Task Scheduling in Cloud Computing using Chaotic Bat Algorithm
Cloud computing is a technology for providing services over the Internet. It gives approach to renting IT infrastructures on a short-term pay- per-usage basis. One of the service provider’s goals is to use the resources...
Pause Time Optimal Setting for AODV Protocol on RPGM Mobility Model in MANETs
For the last few years, a number of routing protocols have been proposed and implemented for wireless mobile Ad hoc network. The motivation behind this paper is to discover and study the pause time effects on Ad hoc on D...
Performance Evaluation of a Smart Remote Patient Monitoring System based Heterogeneous WSN
This paper investigates the development of a remote patient monitoring system based on WBAN Wireless Body Sensor Network. Thus, the main purpose of such design is to interconnect heterogeneous sensor networks not equippe...
Generation of Sokoban Stages using Recurrent Neural Networks
Puzzles and board games represent several important classes of AI problems, but also represent difficult complexity classes. In this paper, we propose a deep learning based alternative to train a neural network model to...
Intelligent Real-Time Facial Expression Recognition from Video Sequences based on Hybrid Feature Tracking Algorithms
In this paper, a method for automatic facial expression recognition (FER) from video sequences is introduced. The features are extracted from tracking of facial landmarks. Each landmark component is tracked by appropriat...