Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tomasz Bartynski"'
Publikováno v:
Computer Science, Vol 13, Iss 3, p 45 (2012)
The paper addresses the issues of invoking services from within workflows which are becoming an increasingly popular paradigm of distributed programming. The main idea of our research is to develop a facility which enables load balancing between the
Externí odkaz:
https://doaj.org/article/b6dc85994aa8407f96a63b98395fc4fc
Autor:
Bartosz Balis, Marek Kasztelnik, Piotr Nowakowski, Maciej Pawlik, Daniel Harezlak, Tomasz Bartynski, Maciej Malawski, Marian Bubak, Bartosz Wilk
Publikováno v:
ICCS
Real-time disaster management and decision support systems rely on complex deadline-driven simulations and require advanced middleware services to ensure that the requested deadlines are met. In this paper we propose a reference architecture of an in
Autor:
Marian Bubak, Maciej Malawski, Daniel Harezlak, Marek Konieczny, Piotr Nowakowski, Krzysztof Zieliński, Bartosz Balis, Tomasz Bartynski, Marek Kasztelnik, Piotr Nawrocki, Bartosz Kwolek, Bartosz Wilk, Tomasz Szydlo, Robert Brzoza-Woch
Publikováno v:
E3S Web of Conferences, Vol 7, p 14008 (2016)
Smart levees are being increasingly investigated as a flood protection technology. However, in large-scale emergency situations, a flood decision support system may need to collect and process data from hundreds of kilometers of smart levees; such a
Autor:
J. Kocot, Maciej Malawski, Grzegorz Dyk, Tomasz Bartynski, Jan Meizner, Daniel Harezlak, Piotr Nowakowski, Eryk Ciepiela, Marek Kasztelnik
Publikováno v:
ICCS
The Collage Authoring Environment is a software infrastructure which enables domain scientists to collaboratively develop and publish their work in the form of executable papers. It corresponds to the recent developments in both e-Science and computa
Autor:
Marian Bubak, Piotr Nowakowski, Tomasz Gubała, Jeroen Broekhuijsen, Tomasz Bartynski, Bartosz Balis, Marek Kasztelnik
Publikováno v:
ICCS
Procedia Computer Science, 4, 96-105
Procedia Computer Science, 4, 96-105
Early Warning Systems (EWS) can play a crucial role in mitigating the effects of natural disasters. Modern EWSs leverage wireless sensors for real-time monitoring of natural phenomena and computing-intensive scientific applications for scenario-based
Publikováno v:
Future Generation Computer Systems. 26:138-146
In this paper we address the complexity of building and running modern scientific applications on various Grid systems with heterogeneous middleware. As a solution we have proposed the Grid Operation Invoker (GOI) which offers an object-oriented meth
Autor:
Piotr Nowakowski, Maciej Malawski, Natalia Stathakarou, Tomasz Bartynski, Andrzej A. Kononowicz, Anne H. Berman, Cormac McGrath, Nabil Zary
Publikováno v:
JMIR Medical Education
JMIR Medical Education, Vol 1, Iss 2, p e8 (2015)
JMIR Medical Education, Vol 1, Iss 2, p e8 (2015)
BackgroundMassive open online courses (MOOCs) have been criticized for focusing on presentation of short video clip lectures and asking theoretical multiple-choice questions. A potential way of vitalizing these educational activities in the health sc
Publikováno v:
CCGRID
Early Warning Systems (EWS) may become a powerful tool for mitigating the negative impact of natural disasters, especially when combined with advanced IT solutions - such as on-demand scenario simulations, semi-automatic impact assessment, or real-ti
Publikováno v:
Computer Science, Vol 13, Iss 3, p 45 (2012)
The paper addresses the issues of invoking services from within workflows which are becoming an increasingly popular paradigm of distributed programming. The main idea of our research is to develop a facility which enables load balancing between the
Autor:
Piotr Nowakowski, Marian Bubak, Tomasz Gubała, Bartosz Balis, Marek Kasztelnik, Eryk Ciepiela, Matthias Assel, J. Kocot, Alfredo Tirado-Ramos, Tomasz Bartynski, Włodzimierz Funika, Maciej Malawski, Daniel Harezlak, Dariusz Król
Advanced research in life sciences calls for new information technology solutions to support complex, collaborative computer simulations and result analysis. This chapter presents the ViroLab virtual laboratory, which is an integrated system of dedic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7c99b73502a101a88271f11853c122
https://doi.org/10.4018/978-1-60566-374-6.ch027
https://doi.org/10.4018/978-1-60566-374-6.ch027