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
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;
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on
Conference_Location :
Larnaca
DOI :
10.1109/WETICE.2015.31
