• DocumentCode
    252000
  • Title

    A Study on Personalization and Customization Mechanisms of Vehicular Cloud Platform

  • Author

    Zafar, Muhammad Sarim ; Ahmad, Farhan

  • Author_Institution
    Sch. of Comput. & Math., Univ. of Derby, Derby, UK
  • fYear
    2014
  • fDate
    8-11 Dec. 2014
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    This study discusses the concept of personalization and customization mechanism performed specifically for a cloud based vehicular platform. The proof-of-concept prototype allows the user to create a personalized environment on the Vehicular On-Board Unit (OBU) from hand-held devices of vehicular users. The paper discusses an extensive analysis on different type of vehicular users using different type of services, methodologies to use intermediary component between the vehicle and service providers in-order to personalize OBU. For this purpose, we have defined methodologies both for the service providers and vehicular users. For users, we have enabled peer-to-peer application layer personalization including the module of object storage on cloud. For service providers we have illustrated the idea of an engine allowing them to orchestrate services with respective to the user-types. Although it was implemented as a proof-of-concept system but it can be easily applicable for various users, service providers and hence can be extended further.
  • Keywords
    cloud computing; driver information systems; peer-to-peer computing; OBU; cloud based vehicular platform; customization mechanisms; hand-held devices; intermediary component; object storage module; peer-to-peer application layer personalization; personalization mechanisms; proof-of-concept prototype; vehicular on-board unit; Androids; Cloud computing; Engines; Humanoid robots; IEEE 802.11 Standards; Peer-to-peer computing; Vehicles; Android; Openstack swift; customized information services; vehicular telematics; wi-fi direct;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/UCC.2014.132
  • Filename
    7027599