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Dive into the research topics where Ján Astalos is active.

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Featured researches published by Ján Astalos.


Lecture Notes in Computer Science | 2003

First Prototype of the CrossGrid Testbed

Jorge Gomes; M. David; João Martins; Luis Bernardo; J. Marco; R. Marco; D. Rodríguez; José Salt; S. Gonzalez; Javier Sánchez; A. Fuentes; Markus Hardt; Ariel Garcia; P. Nyczyk; A. Ozieblo; Pawel Wolniewicz; Michal Bluj; Krzysztof Nawrocki; Adam Padée; Wojciech Wislicki; Carlos Fernández; J. Fontán; A. Gómez; I. López; Yiannis Cotronis; Evangelos Floros; George Tsouloupas; Wei Xing; Marios D. Dikaiakos; Ján Astalos

The CrossGrid project is developing new grid middleware components, tools and applications with a special focus on parallel and interactive computing. In order to support the development effort and provide a test infrastructure, an international grid testbed has been deployed across 9 countries. Through the deployment of the testbed and its supporting services, CrossGrid is also contributing to another important project objective, the expansion of the grid coverage in Europe. This paper describes the status of the CrossGrid testbed.


Management of Environmental Quality: An International Journal | 2004

Problem‐solving environment for flood forecasting

Ladislav Hluchy; Ondrej Habala; Branislav Simo; Ján Astalos; Viet Tran; Miroslav Dobrucky

This paper presents a prototype of the collaborative problem solving environment (PSE) for flood forecasting. Flood forecasting is a complex problem that requires cooperation of many scientists in different areas. To enable this cooperation in a manner comfortable to hydrometeorological experts, a part of the CrossGrid project is aimed towards developing a PSE, whose prototype is described here. The PSE consists of a cascade of simulation models, a storage system for computed and measured data and other used datasets, a Web‐based portal with collaboration tools and a powerful computation facility. The whole system is tied together by grid technology and is used to support a virtual organization of experts, developers and users.


grid computing | 2005

International grid CA interworking, peer review and policy management through the european datagrid certification authority coordination group

Ján Astalos; Roberto Cecchini; Brian A. Coghlan; Robert Cowles; U. Epting; T. Genovese; Jorge Gomes; D.L. Groep; M. Gug; Andrew Hanushevsky; M. Helm; Jens Jensen; C. Kanellopoulos; David Kelsey; R. Marco; Ian Neilson; Sophie Nicoud; David O'Callaghan; Darcy Quesnel; I. Schaeffner; L. Shamardin; Dane Skow; M. Sova; Anders Wäänänen; Pawel Wolniewicz; Wei Xing

The Certification Authority Coordination Group in the European DataGrid project has created a large-scale Public Key Infrastructure and the policies and procedures to operate it successfully. The infrastructure demonstrates interoperability of multiple certification authorities (CAs) in a novel system of peer-assessment of the roots of trust. Crucial to the assessment is the definition of minimum requirements that all CAs must meet in order to be accepted. The evaluation is aided by software-generated trust matrices. Related work building on this infrastructure is described. The groups policies and experience now form the basis of the new European Policy Management Authority for Grid Authentication in e-Science.


grid computing | 2005

Experience with the international testbed in the crossgrid project

Jorge Gomes; M. David; João Martins; Luis Bernardo; Ariel Garcia; Markus Hardt; Harald Kornmayer; J. Marco; Rafael Marco; D. Rodríguez; Iván Díaz; D. Cano; José Salt; Soledad Moreno González; Javier Sánchez; F. Fassi; V. Lara; P. Nyczyk; Patryk Lason; Andrzej Ozieblo; Pawel Wolniewicz; Michal Bluj; Krzysztof Nawrocki; Adam Padée; Wojciech Wislicki; C Campos Fernández; Javier Fontan; Yannis Cotronis; Evangelos Floros; George Tsouloupas

The International Testbed of the CrossGrid Project has been in operation for the last three years, including 16 sites in 9 countries across Europe. The main achievements in installation and operation are described, and also the substantial experience gained on providing support to application and middleware developers in the project. Results are presented showing the availability of a realistic Grid framework to execute distributed interactive and parallel jobs.


international conference on parallel processing | 2003

Flood Forecasting in a Grid Computing Environment

Ladislav Hluchý; Ján Astalos; Miroslav Dobrucký; Ondrej Habala; Branislav Simo; Viet Tran

This paper presents a prototype of a flood forecasting sys- tem based on Grid computing. Flood forecasting is a complex problem that requires cooperation and coupling of many simulation models. To enable this coupling in an effective way, a part of the CrossGrid project is aimed towards developing a Grid Computing Environment (GCE) for flood forecasting, as described here. The Grid computing environment consists of a cascade of simulation models, a storage system for com- puted and measured data and other used datasets, a web-based portal with collaboration tools and a powerful computation facility. The whole system is tied together by Grid technology and is used to support a virtual organization of experts, developers and users.


european pvm mpi users group meeting on recent advances in parallel virtual machine and message passing interface | 2002

Concept of a Problem Solving Environment for Flood Forecasting

Ladislav Hluchý; Viet Tran; Ondrej Habala; Ján Astalos; Branislav Simo; David Froehlich

Flood forecasting is a complex problem that requires cooperation of many scientists in different areas. In this paper, the concept of a Collaborative Problem Solving Environment for Flood Forecasting a part of the CrossGrid project - is presented. This paper also focuses on the parallel numerical solution of hydraulic simulation module that is one the most computational-intensive parts of the whole system.


symposium on information and communication technology | 2014

Unified nanoscale gateway to HPC and grid environments

Giang T. Nguyen; Ladislav Hluchý; Jaroslav Tóbik; Viera Sipková; Miroslav Dobrucký; Ján Astalos

Nanotechnology and advanced materials research is offered as a transformative technology with the potential to improve every aspect of social, physical, and economic well-being. Presently, the excellent research is running at Slovak Academy of Sciences (SAS) in various subfields and research disciplines in nanotechnology. As many other fields, nanotechnology research also requires computational and infrastructure support, especially for modelling and simulations. From this point of view, the nanotechnology area represents a big challenge where different scales meet. The high performance computing (HPC) and the Grid computing gives a good chance to simulate real physical nano-structural systems even on atomic level under various external conditions. This paper presents the computational support approach in such environments: a scientific user-centric gateway into the high computational capacity for nanoscale simulations.


2016 International Conference on Electronics, Information, and Communications (ICEIC) | 2016

Problem solving environment for water-supply systems

Viet Tran; Viera Sipková; Ladislav Hluchy; Giang T. Nguyen; Miroslav Dobrucky; Ján Astalos

This paper describes the collaboration of modern technologies based on mathematical modeling with the aim to simulate behaviors of water-supply system in a big city. The core contains an instrumental tool for hydraulics simulation executed on high-performance computing infrastructure. The simulation process collaborates with the GIS environment in order to correct and prepare input data and visualize the simulation output. The novelty is also scientific gateway which enables hydraulic domain experts to interact comfortably with the HPC capacity from various multiple platforms including local cluster, Grid and Cloud.


Parallel program development for cluster computing | 2001

Dynamic load balancing

Miquel A. Senar; Ana Cortés; Ana Ripoll; Ladislav Hluchý; Ján Astalos


Computing and Informatics \/ Computers and Artificial Intelligence | 2016

Effective Computation Resilience in High Performance and Distributed Environments.

Ladislav Hluchý; Giang T. Nguyen; Ján Astalos; Viet Tran; Viera Sipková; Binh Minh Nguyen

Collaboration


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Viet Tran

Slovak Academy of Sciences

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Ladislav Hluchý

Slovak Academy of Sciences

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Pawel Wolniewicz

Aristotle University of Thessaloniki

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Branislav Simo

Slovak Academy of Sciences

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Ondrej Habala

Slovak Academy of Sciences

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Evangelos Floros

Greek Research and Technology Network

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Jorge Gomes

Aristotle University of Thessaloniki

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Luis Bernardo

Universidade Nova de Lisboa

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Ariel Garcia

Karlsruhe Institute of Technology

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