The Cloud-of-Things is a holistic vision about the future of pervasive computing which joins together many topics including the Internet-of Things, Intelligent Environments, Cloud Computing, Embedded Computing and People. Clearly such system can lead to very complex arrangements and relationships especially when an attempt is made to scale up existing approaches into large heterogeneous interconnected intelligent environments. This paper highlights the problems and requirements for such a model and proposes an architecture we call iForest that can address these problems based on the use of crowd-based intelligence as a means of supporting users of heterogeneous interconnected devices with in a Cloudof-Things paradigm. In particular we present a computational model, based on graph theory, that we hope is a significant step to these ends. This work is ongoing and we will be reporting onour prograss in furture workshops and conferences.
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