Options
Teilāns, Artis
Research Output
FUNCTIONAL MODELLING OF IT RISK ASSESSMENT SUPPORT SYSTEM
2011, Teilāns, Artis, Andrejs Romanovs, Yuri Merkuryev, Arnis Kleins, Pjotrs Dorogovs, Ojars Krasts
Information technology systems represent the backbone of a company's operational infrastructure. A company's top management typically ensures that computer software and hardware mechanisms are adequate, functional and in adherence with regulatory guidelines and industry practices. Nowadays, due to depressed economic and increased intensity of performed operations, business highly recognizes the influence of effective Information Technology risk management on profitability. The purpose of this paper is to develop IT risks assessment systems support functional model, based on analysis of IT risks and assessment mechanisms, IT governance and risk management frameworks, functional analysis of IT risks assessment and management software, and, finally, to develop IT risk management domain specification language with a metamodel that defines an abstract UML based language for supporting model-based risk assessment. Usage of UML based domain specific language achieves synergy from in IT industry widely used UML modelling technique and the domain specific risk management extensions.
The Development of an Integrated Geosimulation Environment for Public Transit Analysis and Planning
2012, Arnis Kleins, Arnis Lektauers, Julija Petuhova, Teilāns, Artis
This paper describes an integrated software environment for multi-modal public transit simulation based on the principles of geosimulation that integrates the capabilities of multi-agent systems, GIS and interactive visualization. The goal of the presented research is to explore possibilities of population in one of Latvia’s planning regions, called Vidzeme, to access state/municipal and other services by using public transport. In order to achieve the defined goal, an integrated simulation environment for public transit analysis and planning is developed.
Assessment of Cyber Physical System Risks with Domain Specific Modelling and Simulation
2018, Teilāns, Artis, Romanovs, Andrejs, Merkuryev, Yuri, Dorogovs, Pjotrs, Kleins, Arnis, Potryasaev, Semyon
Nowadays, the systems developed to integrate real physical processes and virtual computational processes — the cyber-physical systems (CPS), are used in multiple areas of industry and critical national infrastructure, such as manufacturing, medicine, traffic management and security, automotive engineering, industrial process control, energy saving, ecological management, industrial robots, technical infrastructure management, distributed robotic systems, protection target systems, nanotechnology and biological systems technology. With wide use, the level of IT and cyberrisks increases drastically and successful attacks against the CPS will lead to unmanageable and unimaginable consequence. Thus, the need in well-designed risk assessment system of CPS is clear and such system can provide an overall view of CPS security status and support efficient allocations of safeguard resources. The nature of CPS differs from IT mainly with the requirement for real-time operations, thus, traditional risk assessment method for IT system can be adopted in CPS. Design of a unified modelling language based domain specific language described in this paper achieves synergy from in IT industry widely used UML modelling technique and the domain specific risk management extensions. As a novelty for UML modelling, especially for simulation purposes, the presented DSL is enriched by a set of stochastic attributes of modelled activities. Such stochastic attributes are usable for further implementation of discrete-event system simulators.
A Multi-Model Approach for Simulation-Based Digital Twin in Resilient Services
2021, Arnis Lektauers, Jelena Pecerska, Vitalijs Bolsakovs, Andrejs Romanovs, Janis Grabis, Teilāns, Artis
Complex cyber-physical systems demand integrated solution approaches. The current work presents a multi-model approach for simulation-based digital twins as a formal and technological foundation for the analysis and improvement of resilient services. The given approach has several significant benefits including the possibility to conduct interactive simulations and experiments based on systems engineering principles, to share data across multiple data sources and storages, to manage operations in real-time, as well as to enable collaboration between the users in an integrated web platform. The proposal is illustrated on the use cases of secure telemedicine services and secure remote workplace.
Object-Oriented Modelling and Simulation of Large-Scale Systems
2017, Teilāns, Artis, Merkuryev, Yuri
Abstract The paper discusses a methodology of object-oriented modelling and simulation. This methodology was developed for large-scale systems modelling and simulation. From modelling point of view, presented methodology can be classified as Object-Oriented methodology, and from simulation point of view as discrete event system (DEYS) methodology.