Proceedings Article10.1109/NBIS.2013.46
Application for Mobile Cloud Learning
Jae Dong Lee,Jong Hyuk Park +1 more
- 04 Sep 2013
- pp 296-299
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TL;DR: This research aims to make a model for mobile cloud learning system and its application, which has three layers; system layer, application layer and user layer.
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Abstract: E-learning applications and processes include Web-based learning, computer-based learning, virtual classrooms and digital collaboration Recently, in the system development case, cloud computing has applied for learning system This research aims to make a model for mobile cloud learning system and its application In the system, it has three layers; system layer, application layer and user layer
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Citations
A Novel Model for Cloud Based Mobile Learning System
TL;DR: This paper presents a new model for mobile learning system in cloud computing environment that is enriched with high performance computing (HPC) and graphical processing unit (GPU) cluster infrastructure and aggregates the power with new technologies to implement M-leaning process more effective with highperformance and quick response.
Auto-Scaling Approach for Cloud based Mobile Learning Applications
TL;DR: An intelligent neuro-fuzzy reinforcement learning approach to solve the scalability problem in mobile cloud learning applications is proposed and the experimental results prove that the proposed approach is able to increase learning speed and reduce the training time needed to determine optimal policies.
A Review on use of Mobile Cloud System in Educational Sector
Neeta Sarode,J. W. Bakal +1 more
- 06 Mar 2020
TL;DR: The major contribution of this paper is to study and review the different cloud based mobile learning systems hence exploring the best practices carried out by universities globally and how they have assisted effectively to improve the performance of learners.
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Proposal to Improve Mobility in Service Oriented Architecture
Dalal Aljebry,Rizwan Qureshi +1 more
TL;DR: A new component for SOA architecture is proposed called service upgrade (SU) to increase and improve the service creation speed and satisfy SC and SP needs and the results show that the majority of respondents are in favor of the proposed solution.
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A Mobile Learning Framework on Cloud Computing Platforms
TL;DR: This paper proposes an interdisciplinary approach for design and development of mobile applications in the cloud that includes front service toolkit and backend servicetoolkit and shows its performance.
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A Self-adaptive hierarchical monitoring mechanism for Clouds
Gregory Katsaros,George Kousiouris,Spyridon V. Gogouvitis,Dimosthenis Kyriazis,Andreas Menychtas,Theodora Varvarigou +5 more
TL;DR: This paper presents a monitoring system that facilitates on-the-fly self-configuration in terms of both the monitoring time intervals and the monitoring parameters and forms a multi-layered monitoring framework for measuring QoS at both application and infrastructure levels.
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A novel intrusion severity analysis approach for Clouds
TL;DR: This paper presents a novel method to address this challenge in accordance with the specific requirements of Clouds for intrusion severity analysis and presents rigorous evaluation to assess the effectiveness and feasibility of the proposed method.
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A practical use of learning system using user preference in ubiquitous computing environment
Hwa-Young Jeong,Bong-Hwa Hong +1 more
TL;DR: A u-learning system is proposed that considers the learning level and preferences of each learner and provides information about the student’s preferred learning section and difficulty level of learning contents and indicates the areas that may require additional study, thus allowing students to set up an optimized learning environment.
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