Structural Synthesis of the IoT System for the Fog Computing
The paper presents the results of the structural design of the Internet of Things system, allowing to distinguish subsystems for cloud and fog computing to calculate parameters of information flows between them, and to support the structure optimization tasks.
This paper discusses data interchange formats in the context of heterogeneous networks for the Internet of Things (IoT). The wide dissemination of IoT technologies into various industries, such as agriculture and mining, reveals data transfer issues in geographically remote locations due to absence of any network infrastructure. Several technologies like LoraWAN and NB-IOT offer extended communication ranges, however they still cannot fully solve the problem. In many cases satellite networks are the only available option for transmitting IoT data to a central collection point. Our research of satellite networks showed that as of today the Iridium Short Burst Data (SBD) network is one of the best technologies suited for IoT applications. However, the SBD imposes a significant limit on the size of transmitted messages, which turns data format selection into a vitally important task. We developed a simulation model as well as a heterogeneous Iridium-LoRAWAN prototype to compare different data exchange formats. Our experiments showed more than 4 times increase in the amount of data transferred with Protocol Buffers, compared to the widely used JSON format.
Wireless sensor networks are offered as a platform for fog computing. This paradigm describes a computation process that executes on a new structural layer situated between cloud computing and end devices. A problems' analysis provided that arise in case of using wireless sensor network for fog computing, offered researching way for problems salvation.
The dg.o conference is the flagship conference of the Digital Government Society (DGS), and has positioned itself to be a top-ranking conference in this interdisciplinary academic field. It brings high quality research contributions and plays a major role in the advancement of knowledge in the field of digital government. The continue growing number of scholars and the growing number of members will continue to reinforce the position of DGS as a research and practice platform where researchers and practitioners can meet, exchange ideas, and build new relationships.
The aim of the paper is to develop a methodological approach to conceptual modeling of performance management systems. For these purposes such systems are considered as means of information support of corporate governance and strategic management and include such components as analytical methods, management processes, information systems and personnel competences. As a result, a modeling approach based on functional blocks, modules and information flows is proposed, and a conceptual model of a generic performance management system is developed. The model consists of four aggregative functional blocks (strategic analysis and strategic choice, management by key performance indicators, corporate planning and budgeting, consolidated financial reporting) and may be considered as a reference model for different types of organizations.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.