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.
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