Andrey S. Vdovenko

Mobile multi-service smart room client: Initial study for multi-platform development

Smart Room provides a service set to automate such research and educational activity as conferences, lectures, and meetings. For human participants the services are accessible via mobile personal end-user devices. A mobile device hosts a smart room client, which registers the participant in the smart room space, shares her/his personal data and context, and accesses available services in the room. This paper reports recent progress of the smart room client development. Our key objectives are (1) development unification for various mobile platforms, where Windows Phone and Symbian are our reference cases; (2) support in the user interface of personalized access to the important services from a large set. Our initial study shows that objective (1) is an architecture design issue and our multi-platform development is based on tradeoffs between native mechanisms and portable solutions. We achieve objective (2) using HTML5 features, supported by many modern mobile platforms.

A smart space-based design of semantic layer for advancing museum information services

Nowadays many museums are being transformed to some “smart” variants: a cultural space in a digitally-equipped environment is formed where cultural heritage knowledge can be easily and collaboratively usable and creatable by interested visitors as well as by professionals. By using such innovative technologies as Internet of Things (IoT) and Smart Spaces it is possible to shorten the distance between museum exhibits and collected historical information on one side and consumers and providers of this information on the other side. In this paper, we study the smart museum concept for development of software that realizes connection between the involved actors and shared cultural heritage knowledge. Our research and development are focused on designing a semantic layer in the form of a software infrastructure. This infrastructure is a middleware on top of which such advanced museum information services can be constructed as personal visit planning, virtual exhibition preparation, and collaborative enrichment the museum collection. We introduce a suit of smart space-based solutions to create this type of software infrastructures. The generic solutions are theoretically analyzed based on the case study of the History Museum of Petrozavodsk State University (PetrSU).

Control Strategies of Subscription Notification Delivery in Smart Spaces

The paper studies performance of the subscription operation in smart spaces for the case when the notification delivery to a client is subject to losses. We consider an active control of the check interval for the client to adapt to the observable loss rate. The adaptive strategy takes into account the number of lost notifications. The performance is analyzed and compared with other strategies under simplified assumptions about the loss distribution.

Enhancing the smartroom system with e-tourism services

The SmartRoom system is a service-oriented application for assisting such collaboration activity as conference or meeting in a room equipped with computing and presentational devices and Internet access. The development is open source and based on the Smart-M3 platform. In this paper, we consider advanced scenarios for SmartRoom to enhance the latter with e- Tourism services. We introduce a smart space based architecture for this enhancement. We provide an ontology for representing and sharing the tourism-related information for service construction. Based on the architecture and ontology, several case study services are designed. In particular, we implement a service for collaborative construction of a social program for conference participants. The implemented service is integrated into the SmartRoom system and demonstrates the feasibility of the proposed design.

Convergence Evaluation of Adaptation to Losses: The Case of Subscription Notification Delivery to Mobile Users in Smart Spaces

A smart space provides a shared view on information, which is cooperatively produced, processed, and consumed by participants themselves in a computing environment. One of the most advanced networked operations on this information is the subscription operation. It supports the information-driven programming style: a notification is delivered to all interested participants when an appropriate information fact is formed in the smart space. In this work, we continue our study of the notification delivery when the latter is subject to losses. Notifications assigned to the mobile user in smart space are undelivered though several information updates have been made by other participants. The notification delivery performance can be improved by using active control: The client of the mobile user side proactively tracks information updates according to individually defined time points. These points can be selected rationally to adapt the notification delivery to observed losses. We analytically and experimentally evaluate the convergence of two active control strategies with adaptation to losses for different loss distributions.

Active control by a mobile client of subscription notifications in smart space

Smart space supports interaction of multiple participants though information sharing. This kind of interaction is indirect and networked. For detection of changes, which come in parallel from other participants, a participant applies the subscription operation. It allows receiving notifications passively on a regular basis. Absolutely dependable delivery of notifications cannot be guaranteed in modern computing environments. In particular, wireless networks are subject of frequent faults, making the subscription operation less reliable for mobile clients in smart spaces. In this paper, we study the problem of active control by a client in receiving subscription notifications. We introduce a simple mathematical model for control the check interval for subscription notifications, which ensures client adaptation to the notification loss rate.

Simulation performance evaluation of Smart-M3 applications for Internet of Things environments

Smart space is created by deploying a Semantic Information Broker (SIB) in a given Internet of Things (IoT) environment. The deployed SIB enables information sharing for many digital devices participating in the IoT environment. In this study, we consider CuteSIB — a new SIB implementation for the Smart-M3 platform, where the class of SIB host devices covers various embedded and mobile devices, in addition to such traditional Internet participants as laptop, desktop, and server computers. Our simulation study focuses on performance evaluation of the CuteSIB operation with a multitude of devices that simultaneously produce data, process information, and deliver services. Our experiments apply a scalability model of a Smart-M3 application with the three functional groups of participating devices: sensors, reasoners, and mobile clients. In the experiments, the number of devices is varied in each group as well as the interaction parameters. The evaluation shows the scalability level that CuteSIB can achieve being deployed in an IoT environment of restricted capacity.

Performance evaluation of smart-M3 applications: A SmartRoom case study

Smart spaces support development of advanced service-oriented applications that introduce intelligence into Internet of Things environments. Current development meets the performance challenge, since the intelligence is achieved by the cost of performance. In this paper, we experimentally study a representative application for smart spaces - the SmartRoom system. It assists humans in such collaborative work activity as conferences, meetings, and seminars. Using the existing software Smart-M3-based implementation, we evaluate the performance of the three important components of service construction and delivery within a localized IoT environment of the room: (1) construction of the core SmartRoom services, (2) access of personal mobile devices to the system for delivering services, and (3) use of services composed with external Internet services. Our experiments confirm the Smart-M3 applicability. Even in the settings of a restricted-capacity IoT environment, the performance is suitable for practical purpose. The evaluated system components are common, and our experimental conclusions provide performance bounds convenient for a wide class of Smart-M3 applications.