Prof. Dr. Peter KACSUK is the Director of the Laboratory of the Parallel and Distributed Systems in the Computer and Automation Research Institute (SZTAKI) and the technical director of the Hungarian Research Cloud (MTA Cloud). He received his MSc and university doctorate degrees from the Technical University of Budapest in 1976 and 1984, respectively. He received the kandidat degree (equivalent to PhD) from the Hungarian Academy in 1989. He habilitated at the University of Vienna in 1997. He received his professor title from the Hungarian President in 1999 and the Doctor of Academy degree (DSc) from the Hungarian Academy of Sciences in 2001. He was a part-time full professor at the University of Westminster (London, UK) between 2001 and 2017. Now he is a professor emeritus there. He has published two books, two lecture notes and more than 350 scientific papers on parallel computer architectures, parallel software engineering, workflow systems, Grid and Cloud computing. He is co-editor-in-chief of the Journal of Grid Computing published by Springer. He was invited as keynote speaker for more than 20 scientific conferences.
Kovács, J ; Kacsuk, P Occopus: a Multi-Cloud Orchestrator to Deploy and Manage Complex Scientific Infrastructures JOURNAL OF GRID COMPUTING 16 : 1 pp. 19-37. , 19 p. (2018)
Nagy, E ; Hajnal, Á ; Pintye, I ; Kacsuk, P Automatic, cloud-independent, scalable Spark cluster deployment in cloud CIVIL-COMP PROCEEDINGS 112 Paper: 26 , 9 p. (2019)
Taylor, SJE ; Anagnostou, A ; Kiss, T ; Terstyanszky, G ; Kacsuk, P ; Fantini, N ; Reboux, S ; Lakehal, D ; Costes, J Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 15 : 1 pp. 85-94. , 10 p. (2019)
Kiss, T ; Kacsuk, P ; Kovacs, J ; Rakoczi, B ; Hajnal, A ; Farkas, A ; Gesmier, G ; Terstyanszky, G MiCADO-Microservice-based Cloud Application-level Dynamic Orchestrator FUTURE GENERATION COMPUTER SYSTEMS 94 pp. 937-946. , 10 p. (2019)
Pintye, István ; Kail, Eszter ; Kacsuk, Péter Big data and machine learning framework for clouds and its usage for text classification In: Proceedings of 11th International Workshop on Science Gateways (2019)
