Collaborative infrastructure for on-demand crowdsourced tasks

Julian Jarrett, M. Brian Blake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-14
Number of pages6
ISBN (Print)9781467376921
DOIs
StatePublished - Aug 12 2015
Externally publishedYes
Event2015 24th IEEE International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015 - Larnaca, Cyprus
Duration: Jun 15 2015Jun 17 2015

Other

Other2015 24th IEEE International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015
CountryCyprus
CityLarnaca
Period6/15/156/17/15

Fingerprint

Disasters
Compensation and Redress
Sourcing
Natural disasters
Resource allocation
Design patterns
Resource selection
Wisdom

Keywords

  • Collaborative Infrastructure
  • Crowdsourced Tasks
  • Crowdsourcing
  • Design Patterns
  • Elastic Systems
  • Online Labor Markets
  • Service-Oriented Architecture

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Jarrett, J., & Blake, M. B. (2015). Collaborative infrastructure for on-demand crowdsourced tasks. In Proceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015 (pp. 9-14). [7194320] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WETICE.2015.31

Collaborative infrastructure for on-demand crowdsourced tasks. / Jarrett, Julian; Blake, M. Brian.

Proceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 9-14 7194320.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jarrett, J & Blake, MB 2015, Collaborative infrastructure for on-demand crowdsourced tasks. in Proceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015., 7194320, Institute of Electrical and Electronics Engineers Inc., pp. 9-14, 2015 24th IEEE International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015, Larnaca, Cyprus, 6/15/15. https://doi.org/10.1109/WETICE.2015.31
Jarrett J, Blake MB. Collaborative infrastructure for on-demand crowdsourced tasks. In Proceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 9-14. 7194320 https://doi.org/10.1109/WETICE.2015.31
Jarrett, Julian ; Blake, M. Brian. / Collaborative infrastructure for on-demand crowdsourced tasks. Proceedings - 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 9-14
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