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H. Psaier, F. Skopik, D. Schall, S. Dustdar:
"Resource and Agreement Management in Dynamic Crowdcomputing Environments";
Talk: 15th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2011, Helsinki, Finland; 2011-08-29 - 2011-09-02; in: "Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2011", IEEE Computer Society, (2011), ISBN: 978-0-7695-4425-0; 193 - 202.

Open Web-based and social platforms dramatically
influence models of work. Today, there is an increasing
interest in outsourcing tasks to crowdsourcing environments
that guarantee professional processing. The challenge is to
gain the customer´s confidence by organizing the crowd´s
mixture of capabilities and structure to become reliable. This
work outlines the requirements for a reliable management in
crowdcomputing environments. For that purpose, distinguished
crowd members act as responsible points of reference. These
members mediate the crowd´s workforce, settle agreements,
organize activities, schedule tasks, and monitor behavior. At
the center of this work we provide a hard/soft constraints scheduling
algorithm that integrates existing agreement models for
service-oriented systems with crowdcomputing environments.
We outline an architecture that monitors the capabilities of
crowd members, triggers agreement violations, and deploys
counteractions to compensate service quality degradation.

crowdsourcing, service agreements, scheduling, behavior-based adaptation

http://dx.doi.org/10.1109/EDOC.2011.9

Project Head Schahram Dustdar:
COIN

Project Head Schahram Dustdar:
S-Cube