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Dominik Strzalka
Rzeszów University of Technology
Rzeszów, Poland

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.


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...


The growth and evolution of India’s software industry
Jalote P., Natarajan P.  Communications of the ACM 62(11): 64-69, 2019. Type: Article

When the development of computer science and engineering started in the middle of the 20th century, no one expected that it would be so great a challenge and that it would influence our future so much. Around 1980, it was clear that computer engin...


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...


Coordinated CTA combination and bandwidth partitioning for GPU concurrent kernel execution
Lin Z., Dai H., Mantor M., Zhou H.  ACM Transactions on Architecture and Code Optimization 16(3): 1-27, 2019. Type: Article

The high throughput of processors (or, more broadly, computers) has always been a key issue in computer systems architecture. For many years, the most dominant way to increase throughput was to increase the processor clock frequency. But around 15...


CGraph: a distributed storage and processing system for concurrent iterative graph analysis jobs
Zhang Y., Zhao J., Liao X., Jin H., Gu L., Liu H., He B., He L.  ACM Transactions on Storage 15(2): 1-26, 2019. Type: Article

There are many distributed (and commercial) graph processing platforms (for example, services related to social networks) that “need to handle massive concurrent iterative graph processing (CGP) jobs”--processing on large-scale gr...


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