Stanisiaw Deniziak

Work place: Faculty of Electrical Engineering, Automation and Informatics of Kielce University of Technology, Kielce, Poland



Research Interests: Computational Engineering, Computational Science and Engineering, Computer Science & Information Technology, Computer systems and computational processes, Computer Architecture and Organization, Systems Architecture, Engineering


Stanisław Deniziak is Professor of Computer Science in Department of Computer Science, Kielce University of Technology, Poland. He received MSc in Computer Science from Warsaw University of Technology, and PhD degree from Gdańsk University of Technology. In 2006 he received DSc in Computer Science from Warsaw University of Technology. Now, he is Vice Dean for Research and Promotion of Faculty of Electrical Engineering, Automatics and Computer Science, Kielce University of Technology. He has published 85 research papers in various international and national journals, books and conferences. He is active reviewer end editorial member of 7 international journals such Journal of Systems and Software, Computing, Microprocessors and Microsystems, International Journal of Applied Mathematics and Computer Science, The Open Cybernetics & Systemic Journal, International Journal of the Physical Sciences, Annales UMCS - Sectio A Informatica. He has reviewed research papers of many international conferences like: IEEE Design Automation Conference, International Conference of Computational Methods in Sciences and Engineering etc. Prof. Deniziak is IEEE and IEEE Computer Society Member.

Author Articles
An SDDS-Based Architecture for a Real-Time Data Store

By Maciej Lasota Stanisiaw Deniziak Arkadiusz Chrobot

DOI:, Pub. Date: 8 Jan. 2016

Recent prognoses about the future of Internet of Things and Internet Services show growing demand for an efficient processing of huge amounts of data within strict time limits. First of all, a real-time data store is necessary to fulfill that requirement. One of the most promising architecture that is able to efficiently store large volumes of data in distributed environment is SDDS (Scalable Distributed Data Structure). In this paper we present SDDS LH*RT, an architecture that is suitable for real-time applications. We assume that deadlines, defining the data validity, are associated with real-time requests. In the data store a real-time scheduling strategy is applied to determine the order of processing the requests. Experimental results shows that our approach significantly improves the storage Quality-of-service in a real-time environment.

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