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The use of wireless technologies and low-capacity devices is now inevitable in smart spaces development for Internet of Things (IoT). A smart space is created by deploying a Semantic Information Broker (SIB) on a host device. This paper examines the applicability of a wireless router for being a SIB host device and creating a smart space in the IoT environment. CuteSIB is one of SIB implementations in the Smart-M3 platform and the focus is on Qt-based devices. We provide a technique for creating an OpenWrt-based embedded system composed of CuteSIB software components for a smart spaces deployment using a cross-compiling method. The resulting embedded system is used to deploy the SmartRoom system — a Smart-M3-based application that creates a virtual shared workspace in a multimedia equipped room to support collaborative activity of participants. Our experiments confirm that capacity of a wireless router is satisfactory for deployment of this class of Smart-M3 applications.

Many network management tasks require a network topology graph as its input. However, the lack of standard methods of network elements detection, coupled with the incompleteness and heterogeneity of the available topology data, complicate the network topology discovery process. In these conditions it is rational to separate the task of collecting data about the current topology of the network from the tasks of analyzing the collected data and building a topology graph. This approach requires a definition of the modern enterprise networks topology graphs family. Contribution of the paper is the graph model of the topology of physical, link and network layers of a modern enterprise Ethernet and IP based network. A set of theorems proved in the paper allows to infer parts of the topology graph, which are not described by data available on the network devices. Three-step process of building a topology graph using the network data and inference procedures is also proposed in the paper.

In this paper, we show that Russian state educational standards “Applied Mathematics and Computer Science” and “Information Systems and Technology” are appropriate for teaching students to industrial programming tools and technology on open platforms. We introduce our scheme of study courses that provides mastering students to the software development competences. The core of scheme is the course on Software Engineering (SE) for 3rd year students. The approach essentially facilitates “the phase transition” of a student personality from her/his educational activity to the labor one, accelerating admission of graduates into manufacturing processes of the software industry. The approach applicability is demonstrated with examples of software engineering projects for Nokia Internet tablets on open platform Maemo Diablo 4.1.