Publications

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Kertész Attila, Kacsuk P.  2007.  A Taxonomy of Grid Resource Brokers. Distributed and Parallel Systems. :201-210.
Kertész Attila, Sipos G, Kacsuk P.  2006.  Brokering multi-grid workflows in the P-GRADE portal. Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing. :138–149.
Kertész Attila, Kecskeméti G, Marosi A, Oriol M, Franch X, Marco J.  2012.  Integrated Monitoring Approach for Seamless Service Provisioning in Federated Clouds. Proceedings of the 20th international Euromicro conference on parallel, distributed and network-based processing. :567–574.
Kertész Attila, Kacsuk P.  2009.  Grid Interoperability Solutions in Grid Resource Management. Systems Journal, IEEE. 3:131-141.
Kertész Attila, Rodero I, Guim F.  2009.  Meta-Brokering Solutions for Expanding Grid Middleware Limitations. Euro-Par 2008 Workshops. :199–210.
Kertész Attila, Kecskeméti G, Oriol M, Kotcauer P., Acs S, Rodrígez M., Mercè O., Marosi A, Marco J, Franch X.  2013.  Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach. JOURNAL OF GRID COMPUTING. 11:699–720.
Kertész Attila, Otvos F., Kacsuk P..  2014.  A case study for biochemical application porting in european grids and clouds. Concurrency Computation Practice and Experience. 26:1730-1743.
Kertész Attila, Kacsuk P.  2007.  Grid Meta-Broker Architecture: Towards an Interoperable Grid Resource Brokering Service. Euro-Par 2006: Parallel Processing. 4375:112-115.
Kertész Attila, Farkas Z, Kacsuk P.  2011.  Multi-level Brokering Solution for Interoperating Service and Desktop Grids. Euro-Par 2010 Parallel Processing Workshops. 6586:271-278.
Kertész Attila.  2005.  A JPVM felépítése és használata grafikus környezetben.
Kertész Attila, Pflanzner T, Gyimothy T.  2018.  A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems. Journal of Grid Computing. (2018):1-23.
Kertész Attila, Kecskeméti G, Németh Z, Oriol M, Franch X.  2012.  A holistic service provisioning solution for Federated Cloud infrastructures. 2012 1st International Workshop on European Software Services and Systems Research - Results and Challenges, S-Cube 2012. :25–26.
Kecskemeti G, Marosi A.C., Kertész Attila.  2016.  The ENTICE approach to decompose monolithic services into microservices. 2016 International Conference on High Performance Computing and Simulation, HPCS 2016. :591-596.
Kecskeméti G, Kertész Attila, Marosi A, Kacsuk P.  2011.  Interoperable Resource Management for establishing Federated Clouds. Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice.
Kecskeméti G, Maurer M, Brandic I, Kertész Attila, Németh Z, Dustdar S.  2012.  Facilitating self-adaptable Inter-Cloud management. Proceedings of the 20th international Euromicro conference on parallel, distributed and network-based processing. :575–582.
Kecskeméti G, Maurer M, Brandic I, Kertész Attila, Zs. Németh, Dustdar S.  2011.  Facilitating self-adaptable Inter-Cloud management. Accepted for the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP '12).
Kecskemeti G, Kertész Attila, Marosi A.C..  2017.  Towards a methodology to form microservices from monolithic ones. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10104 LNCS:284-295.
Kecskemeti G, Kertész Attila, Marosi A., Prodan R..  2014.  First international workshop on federative and interoperable cloud infrastructures (FedICI 2013). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8374 LNCS:114-115.
Kecskeméti G, Markus A, Kertész Attila.  2018.  Cost-efficient datacentre consolidation for cloud federations. 8th International Conference on Cloud Computing and Services Science. :213-220.
Kecskeméti G, Kertész Attila, Marosi A, Kacsuk P.  2012.  Interoperable Resource Management for establishing Federated Clouds. Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice. :18–35.
Kecskeméti G, Németh Z, Kertész Attila, Ranjan R.  2019.  Cloud workload prediction based on workflow execution time discrepancies. Cluster Computing. vol 22(3):737-755.
Kecskemeti G, Kertész Attila, Marosi A.C., Nemeth Z..  2014.  Strategies for Increased Energy Awareness in Cloud Federations. High-Performance Computing on Complex Environments. :365-382.
Kecskemeti G, Kertész Attila, Nemeth Z..  2017.  Cloud workload prediction by means of simulations. ACM International Conference on Computing Frontiers 2017, CF 2017. :279-282.
Kasza M, Bilicki V.  2007.  WMN for rural communities: a case study. Summer University on Information Technology in Agriculture and Rural Development. :83-94.
Kasza M, Szűcs V, Végh ÁZ, Török T.  2011.  Passive vs. Active Measurement: the Role of Smart Sensors. Third International Workshop on Pervasive Computing in Embedded Systems. :333-337.