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The abundance of smart appliances and concomitant data in Internet of Things (IoT) poses new industrial challenges. Devices must be managed, and data efficiently harvested. IoT platforms are the rescue; they are key architectural components in combatting complexity and scalability issues. This paper proposes a pragmatic composition method of these platforms, hence helps solving IoT interoperability conundrums. The described approach results in a higher-level abstraction, that shields user applications from the underlying turmoil. Our article presents an approach of wrapping such a mesh under a high-level domain API. To verify the soundness of our proposal we have implemented a fully functional proof of concept implementation. The source code is freely available at request. The outcome decisively demonstrates the proposed method's feasibility, power, and usefulness.

This paper presents an extension of the Common Information Model (CIM) with a catalog of topologies, in other words with a catalog of bays, for distribution networks. This extension has been realized by defining an additional set of metadata for cataloguing equipment containers. The extended CIM was tested on real distribution networks. Performance metrics of the model, taken into account at the time of evaluation were: the size of the CIM/XML (eXtensible Markup Language) document containing exported data about the network, and the speed of processing the topological connectivity of the network in advanced Distribution Management System (DMS) applications. According to the test results, incorporating the catalog of bays may significantly boost the performance of CIM based solutions without jeopardizing CIM compatibility. Index Terms--CIM/XML, data management, electronic data interchange, object oriented methods, power system modeling.