• DocumentCode
    230748
  • Title

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

  • Author

    Karadimce, Aleksandar ; Davcev, Danco

  • Author_Institution
    Fac. of Comput. Sci. & Eng., Univ. Ss Cyril & Methodius - Skopje, Skopje, Macedonia
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    431
  • Lastpage
    434
  • 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.
  • Keywords
    cloud computing; computer aided instruction; groupware; mobile computing; multimedia computing; SaaS cloud computing model; adaptive multimedia content delivery Model; collaborative m-Iearning environment; collaborative multimedia content delivery model; information sharing; m-Iearning system quality perception; multimedia content authoring; multimedia content selection; multimedia content transcoding; smart mobile devices; Collaboration; Computational modeling; Delays; Mobile computing; Quality of service; Rail to rail inputs; Software; QoE; QoS; adaptive multimedia content delivery; cloud computing; collaborative m-learning; mobile devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2014 International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • Filename
    7014590