The research laboratory's mission is conducting research on parallel and distributed systems in order to support the highly parallel and/or distributed execution of grand challenge applications processing very large data sets. We also aim to elaborate new methods and tools for closing the gap between the abstraction level of current parallel and distributed platforms (like supercomputers, clusters, clouds and quantum computers) and the grand challenge applications.
Publication date
2015
JOURNAL OF GRID COMPUTING, xx, pp. 1-12. ISSN 1570-7873
A Set of Successive Job Allocation Models in Distributed Computing Infrastructures
In: Proceedings of the 10th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2015) Óbudai Egyetem, Budapest, pp. 227-231.
Supporting Smart System applications in Scientific Gateway environment
In: 14th International Conference on High Performance Computing and Simulation, HPCS 2016 2016 International Conference on High Performance Computing and Simulation, HPCS 2016 IEEE, New York, pp. 591-596.
The ENTICE approach to decompose monolithic services into microservices
In: Proceedings of the 10th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2015) Óbudai Egyetem, Budapest, pp. 233-236.
A novel approach to user-steering in scientific workflows