• DocumentCode
    267145
  • Title

    cAppCloud: Contextual Personalized Application Cloud

  • Author

    Injung Kim ; Sahu, Sambit

  • Author_Institution
    Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    2014
  • fDate
    15-18 Dec. 2014
  • Firstpage
    829
  • Lastpage
    834
  • Abstract
    Extending ubiquitous data access to personalized applications stack, we propose and build a cloud based intelligent personalized application leveraging cloud to allow users access to their personalized applications from anywhere on any device. Our system is smart and intelligent in the sense that it adapts itself based on (i) available bandwidth between the user location and the cloud system, (ii) user profile that is automatically sensed and learned, (iii) user locations among other context profiles. First, we develop a framework for application virtualization that decouples an application from any specific platform or device and enables access to personalized application access at per user level. Our solution is context aware and learns the usage context based on the location and user profile and leverages this to minimize the download bandwidth requirement. Next we provide an implementation of this framework for applications on Windows platform leveraging Amazon S3 cloud storage-although Capp Cloud can be implemented for any platform with any other cloud systems. Given the era of Internet of Things (IoT) and various Cloud Enabled Intelligent Applications, we feel that Capp Cloud can meet various key requirements to facilitate the interesting scenarios.
  • Keywords
    Internet of Things; cloud computing; information retrieval; learning (artificial intelligence); ubiquitous computing; virtualisation; Amazon S3 cloud storage-although Capp Cloud; Internet of Things; IoT; Windows platform; application virtualization; cloud based intelligent personalized application; cloud enabled intelligent applications; context aware solution; context profiles; contextual personalized application cloud; personalized applications stack; ubiquitous data access; usage context learning; user location-cloud system bandwidth; user profile; Application virtualization; Bandwidth; Cloud computing; Computers; Context; Google; Prefetching; application virtualization; cloud; personalized application desktop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CloudCom.2014.140
  • Filename
    7037769