Cloud Research

We are utilizing virtualization and containerization techniques, and we also perform research and development in designing and deploying open source cloud infrastructures. The Infrastructure Platform Development and EFOP-3.6.1 projects have been initiated to create a University-wide private cloud to serve the needs of the members of our University.

Projects:

  • 2019-2020: Infrastructure Platform Development research group of the Research Institute of Smart Systems Read More (TUDFO/47138-1/2019-ITM)
  • 2018-2019: Infrastructure Platform Development (IPD) research group of the Smart Systems Research Institute Read More (20391-3/2018/FEKUSTRAT)
  • 2017-2021: Internet of Living Things EU-funded National Excellence Project Read More in Hungarian (GINOP-2.3.2-15-2016-00037)
  • 2018-2021: "Innovation of intelligent life science technologies and approaches and development of innovative services based on the Szegedien knowledge base" Read More in Hungarian (EFOP-3.6.1-16-2016-00008)

Partners:

  • Liverpool John Moores University
  • LPDS of SZTAKI, HAS
  • Ericsson Hungary

Selected Publications:

Kecskeméti, Gábor, Zsolt Németh, Attila Kertész, and Rajiv Ranjan. "Cloud workload prediction based on workflow execution time discrepancies." Cluster Computing vol 22, no. 3 (2019): 737-755.

Kecskeméti, Gábor, András Markus, and Attila Kertész. "Cost-efficient datacentre consolidation for cloud federations." In 8th International Conference on Cloud Computing and Services Science, 213-220. Madeira, Portugal, 2018.

Kertész, Attila, T Pflanzner, and Tibor Gyimothy. "A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems." Journal of Grid Computing, no. 2018 (2018): 1-23.

Markus, A., Attila Kertész, and G. Kecskemeti. "Cost-aware IoT extension of DISSECT-CF." Future Internet vol. 9 (2017).

Kimovski, D., A. Marosi, S. Gec, N. Saurabh, Attila Kertész, G. Kecskemeti, V. Stankovski, and R. Prodan. "Distributed environment for efficient virtual machine image management in federated Cloud architectures." Concurrency Computation (2017).

Pflanzner, T., R. Tornyai, B. Gibizer, A. Schmidt, and Attila Kertész. "Performance analysis of an openstack private cloud." In CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science, 282-289. Vol. 2., 2016.

Key People (in alphabetical order):

  • Attila Kertész PhD
  • Andras Márkus
  • Tamas Pflanzner
  • Zoltán Sógor
  • Zoltán Varga
Page last modified: September 26, 2019