Building Science Gateways for Analysing Molecular Docking Results Using a Generic Framework and Methodology

Autor: Tamas Kiss, Pamela Greenwell, Gabor Terstyanszky, Damjan Temelkovski

Publikováno v: Journal of Grid Computing

Molecular docking and virtual screening experiments require large computational and data resources and high-level user interfaces in the form of science gateways. While science gateways supporting such experiments are relatively common, there is a cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aaeff3a4819135d715aa6255f2a5736
https://doi.org/10.1007/s10723-020-09529-9

Towards a Cloud Native Big Data Platform using MiCADO

Autor: Gabriele Pierantoni, Tamas Kiss, James DesLauriers, Dimitrios Kagialis, Gabor Terstyanszky, Abdelkhalik Mosa

Publikováno v: 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC)
ISPDC
Proceedings of 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC)

In the big data era, creating self-managing scalable platforms for running big data applications is a fundamental task. Such self-managing and self-healing platforms involve a proper reaction to hardware $(e. g$., cluster nodes) and software $(e. g$.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0603e8b8cbe36f0dc3bbf499f4d50c39

Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach

Autor: James DesLauriers, Simon J. E. Taylor, Gabor Terstyanszky, Tamas Kiss, Anastasia Anagnostou, Gregoire Gesmier, Nura Tijjani Abubakar, Péter Kacsuk, József Kovács

Publikováno v: 2019 Winter Simulation Conference
WSC

There is growing number of research efforts in developing auto-scaling algorithms and tools for cloud resources. Traditional performance metrics such as CPU, memory and bandwidth usage for scaling up or down resources are not sufficient for all appli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991b45c2947e2be7246a162bbffd6cca
https://bura.brunel.ac.uk/handle/2438/26589

The CloudSME Simulation Platform and its Applications: A Generic Multi-cloud Platform for Developing and Executing Commercial Cloud-based Simulations

Autor: Anastasia Anagnostou, Péter Kacsuk, Joris Costes, Gabor Terstyanszky, Simon J. E. Taylor, Nicola Fantini, Tamas Kiss

Publikováno v: Future Generation Computer Systems

© 2018 The Authors. Simulation is used in industry to study a large variety of problems ranging from increasing the productivity of a manufacturing system to optimizing the design of a wind turbine. However, some simulation models can be computation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a8c3b053e97058d7ca14da21eaa9f45
https://bura.brunel.ac.uk/handle/2438/16357

Enabling scientific workflow sharing through coarse-grained interoperability

Autor: Zoltan Farkas, Péter Kacsuk, Gabor Terstyanszky, Tamas Kiss, Tamas Kukla, Ákos Balaskó

Publikováno v: Future Generation Computer Systems. 37:46-59

E-scientists want to run their scientific experiments on Distributed Computing Infrastructures (DCI) to be able to access large pools of resources and services. To run experiments on these infrastructures requires specific expertise that e-scientists

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e8c72abb7b2b0c14308dd6848f9790e1
https://doi.org/10.1016/j.future.2014.02.016