10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Model for collaborative and adaptive multimedia content delivery in a collaborative m-learning environment

Download545 downloads
  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2014.257231,
        author={Aleksandar Karadimce and Danco Davcev},
        title={Model for collaborative and adaptive multimedia content delivery in a collaborative m-learning environment},
        proceedings={10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2014},
        month={11},
        keywords={collaborative m-learning cloud computing mobile devices adaptive multimedia content delivery qos qoe},
        doi={10.4108/icst.collaboratecom.2014.257231}
    }
    
  • Aleksandar Karadimce
    Danco Davcev
    Year: 2014
    Model for collaborative and adaptive multimedia content delivery in a collaborative m-learning environment
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2014.257231
Aleksandar Karadimce1,*, Danco Davcev1
  • 1: Faculty of Computer Science and Engineering, University Ss Cyril and Methodius - Skopje, Republic of Macedonia
*Contact email: akaradimce@ieee.org

Abstract

Smart mobile devices are already used for everyday communication between people. They have become ubiquitous devices for receiving and sharing important information, but they poses limited capability of storing and processing multimedia content. Considering that mobile devices will always have these mentioned limitations, the proposed solution is to use collaborative, adaptive multimedia content delivery and the cloud computing technology. In order to gain increased perception of quality of m-learning systems, the proposed model delivers three services for selection, transcoding and authoring multimedia content, which should be hosted by SaaS cloud computing model. The proposed model for collaborative and adaptive multimedia content delivery will provide the mobile learners with cloud-based services. These services will facilitate the delivery of the preferred multimedia content across heterogeneous network to various types of mobile devices that learners are using. The advantage of the proposed framework is proved by using a sample mobile application for our case study, which estimates the operation of the service for multimedia content selection and authoring service.