Decision Support Service Based on Dynamic Resource Network Configuration in Human-Computer Cloud

Recently, there is an upsurge of systems where a human plays not only a role of a consumer, but serves as an integral part of information processing workflow, providing some services to other parts of a system. The concept of a human-computer cloud aims to mitigate development of such systems by providing a unified resource management environment that could serve as a basis on which any human-based application could be deployed. One of the most important upper-level applications of such human-computer cloud environment is an ability to form dynamic networks of human contributors and software resources to solvead hoc tasks given by the end user. This paper discusses main models, methods and algorithms leveraged for building such task-driven resource networks.