Investigation into Mobile Learning Framework in Cloud Computing Platform

Wei Guo, Zhongyu Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud computing infrastructure is increasingly used for distributed applications. Mobile learning applications deployed in the cloud are a new research direction. The applications require specific development approaches for effective and reliable communication. This paper proposes an interdisciplinary approach for design and development of mobile applications in the cloud. The approach includes front service toolkit and backend service toolkit. The front service toolkit packages data and sends them to a backend deployed in a cloud computing platform. The backend service toolkit manages rules and workflow of web services, supports fault tolerance and then transmits required results to the front service toolkit. To further show feasibility of the approach, the paper introduces a case study and shows its performance.
Original languageEnglish
Title of host publicationProceedings of the Fourth International Conference on Advances in Information Mining and Management
Place of PublicationParis, France
PublisherInternational Academy, Research, and Industry Association (IARIA)
Pages103-108
Number of pages6
ISBN (Electronic)9781612083643
Publication statusPublished - 20 Jul 2014
EventThe Fourth International Conference on Advances in Information Mining and Management - Paris, France
Duration: 20 Jul 201424 Jul 2014
Conference number: 4th
https://www.iaria.org/conferences2014/IMMM14.html (Link to Conference Website)

Conference

ConferenceThe Fourth International Conference on Advances in Information Mining and Management
Abbreviated titleIMMM 2014
CountryFrance
CityParis
Period20/07/1424/07/14
Internet address

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  • Cite this

    Guo, W., & Lu, Z. (2014). Investigation into Mobile Learning Framework in Cloud Computing Platform. In Proceedings of the Fourth International Conference on Advances in Information Mining and Management (pp. 103-108). International Academy, Research, and Industry Association (IARIA). http://eprints.hud.ac.uk/id/eprint/21809/