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| Dominik Strzalka is an associate professor at the Rzeszów University of Technology, as well as the head of Department of Complex Systems. He received his PhD from the Silesian University of Technology in Gliwice, Poland, with a dissertation devoted to a non-extensive analysis of computational complexity in the case of the insertion sort algorithm.
Dominik has been principal investigator and manager of many projects, and has received grants from the National Centre for Research and Development in Poland. He often collaborates with Polish companies, especially in the automotive industry, as a scientific consultant. He believes that the secret to understanding the complexity of today’s world is the theory of complex systems.
Dominik’s current focus is applications of non-extensive thermodynamics and statistics, together with the theory of complex systems for describing computer system behavior, performance, and management. His research focuses on the existence and influence of long-term dependencies and non-extensive entropy on computer systems, including possible applications of this theory in complex computer systems.
Dominik serves as a reviewer for many different scientific journals. He has been a reviewer for Computing Reviews since 2017.
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1 - 10 of 24
reviews
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Market engineering: insights from two decades of research on markets and information Gimpel H., Neumann D., Seifert S., Veit D., Krämer J., Pfeiffer J., Teubner T., Weidlich A., Springer International Publishing, Cham, Switzerland, 2021. 253 pp. Type: Book (978-3-030666-60-6) This special book is mostly devoted to honoring one person, who, thanks to his activity and outstanding ideas, was able to influence many people involved in widely understood information engineering, marketing engineering, market design, and servi...
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Jul 27 2022 |
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WoTbench: a benchmarking framework for the Web of Things Hashemian R., Carlsson N., Krishnamurthy D., Arlitt M. IoT 2019 (Proceedings of the 9th International Conference on the Internet of Things, Bilbao, Spain, Oct 22-25, 2019) 1-4, 2019. Type: Proceedings Since the beginning of the Internet of Things (IoT) concept, there has always been a deep belief that we are expecting a new paradigm in computer science and engineering. There are many new interesting ideas that will lead us toward new challenges...
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Jun 23 2021 |
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Bi-level thresholding: analyzing the effect of repeated errors in gesture input Katsuragawa K., Kamal A., Liu Q., Negulescu M., Lank E. ACM Transactions on Interactive Intelligent Systems 9(2-3): 1-30, 2019. Type: Article Ensuring a proper, easy, and convenient interface between human and machine has been one of the most challenging issues since the first machines were developed. In the beginning, when simple machines responded to direct human hand interaction with...
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Mar 24 2021 |
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Social media data processing infrastructure by using Apache Spark big data platform: Twitter data analysis Podhoranyi M., Vojacek L. CCIOT 2019 (Proceedings of the 2019 4th International Conference on Cloud Computing and Internet of Things, Tokyo, Japan, Sep 20-22, 2019) 1-6, 2019. Type: Proceedings What would we do without social media? What would the world look like if there weren’t continuous data streams? If we refer back to our history, the first big breakthrough was around 1440, when Johannes Gutenberg started his printing technol...
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Mar 17 2021 |
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Secure and effective implementation of an IOTA light node using STM32 Stucchi D., Susella R., Fragneto P., Rossi B. BlockSys 2019 (Proceedings of the 2nd Workshop on Blockchain-enabled Networked Sensor, New York, NY, Nov 10, 2019) 28-29, 2019. Type: Proceedings Sensor systems and Internet of Things (IoT) environments raise a new major challenge to security. Some of these issues can be solved with blockchain protocols, for example, distributed ledger technologies (DLTs); however, “it is still not cl...
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Mar 15 2021 |
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Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions Barika M., Garg S., Zomaya A., Wang L., Moorsel A., Ranjan R. ACM Computing Surveys 52(5): 1-41, 2019. Type: Article When processing different big data workflows, many new and (so far) unknown patterns and performance requirements are visible. We are forced to search new processing models and management techniques that can support the design of different aspects...
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Mar 2 2021 |
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Design and implementation of distributed traceability system for smart factories based on blockchain technology Shih C., Yang K. RACS 2019 (Proceedings of the Conference on Research in Adaptive and Convergent Systems, Chongqing, China, Sep 24-27, 2019) 181-188, 2019. Type: Proceedings Automation processes in modern manufacturing generate a huge amount of data, which is used to guarantee stability and reduce the defect rate of the factory production lines. Collecting these datasets is not the problem; how companies protect them ...
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Nov 25 2020 |
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Data mining to increase teaching performance in engineering education Pascal G., Tornillo J., Minnaard C., Comoglio M. ICEIT 2019 (Proceedings of the 2019 8th International Conference on Educational and Information Technology, Cambridge, UK, Mar 2-4, 2019) 308-311, 2019. Type: Proceedings A country’s success rate depends on many aspects. It is a mixture of different inner and outer conditions. Some factors are dependent on politics, and there is no possibility of building a strong and innovative industrial sector without an e...
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Oct 29 2020 |
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Systematically ensuring the confidence of real-time home automation IoT systems Bu L., Xiong W., Liang C., Han S., Zhang D., Lin S., Li X. ACM Transactions on Cyber-Physical Systems 2(3): 1-23, 2018. Type: Article The quick expansion of computing technology in many areas leads to different new paradigms; among them is the paradigm of cyber-physical systems (CPS) with commonly acquired sensor data that can be processed in real time. One of the manifestations...
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Oct 13 2020 |
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Performance characterization of NVMe-over-fabrics storage disaggregation Guz Z., Li H., Shayesteh A., Balakrishnan V. ACM Transactions on Storage 14(4): 1-18, 2018. Type: Article When it comes to mass data processing, one of the most challenging issues is finding solutions for maximal resource utilization (processor, memory, storage, network, and so on). The underutilization of resources (overprovisioning of disk capacity ...
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Mar 7 2020 |
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