• DocumentCode
    1602082
  • Title

    Collaborative Infrastructure for On-Demand Crowdsourced Tasks

  • Author

    Jarrett, Julian ; Blake, M. Brian

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Miami, Coral Gables, FL, USA
  • fYear
    2015
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    Increasing popularity in the use of crowd sourcing has led to many tasks that can be fulfilled by the wisdom of human actors. When natural disasters or criminal activities occur, then sometimes crowd sourced tasks must be generated in real-time and must be fulfilled in an on-demand fashion. Effective use of crowd sourcing techniques requires an array of services that fulfil many dimensions of the overall problem such as resource selection and allocation, solution selection, and compensation. Any architecture that can provide these services in real-time, on demand requires a dynamic configurable infrastructure. This paper describes an adaptive framework for on-demand crowd sourced tasks supported by a design pattern-inspired architecture.
  • Keywords
    groupware; labour resources; object-oriented methods; outsourcing; resource allocation; ubiquitous computing; adaptive framework; collaborative infrastructure; compensation; criminal activities; crowd sourcing technique; design pattern-inspired architecture; dynamic configurable infrastructure; human actors; natural disasters; on-demand crowdsourced tasks; resource allocation; resource selection; solution selection; Collaboration; Computer architecture; Crowdsourcing; Middleware; Recruitment; Resource management; Collaborative Infrastructure; Crowdsourced Tasks; Crowdsourcing; Design Patterns; Elastic Systems; Online Labor Markets; Service-Oriented Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on
  • Conference_Location
    Larnaca
  • Type

    conf

  • DOI
    10.1109/WETICE.2015.31
  • Filename
    7194320