The work described in this paper aims at effective computation resilience for complex simulations in high performance and distributed environments. Computation resilience is a complicated and delicate area; it deals with many types of simulation cores, many types of data on various input levels and also with many types of end-users, which have different requirements and expectations. Predictions about system and computation behaviors must be done based on deep knowledge about underlying infrastructures, and simulations' mathematical and realization backgrounds. Our conceptual framework is intended to allow independent collaborations between domain experts as end-users and providers of the computational power by taking on all of the deployment troubles arising within a given computing environment. The goal of our work is to provide a generalized approach for effective scalable usage of the computing power and to help domain-experts, so that they could concentrate more intensive on their domain solutions without the need of investing efforts in learning and adapting to the new IT backbone technologies.
Publié le : 2017-02-13
Classification:
Parallel and Distributed Computing, Knowledge and Information Engineering,
Effective resilience, computational intensive strategy, computation management, mathematical modeling, complex simulations,
68U35
@article{cai3537,
author = {Ladislav Hluch\'y; Institute of Informatics, Slovak Academy of Sciences, Bratislava and Giang Nguyen; Institute of Informatics, Slovak Academy of Sciences, Bratislava and J\'an Astalo\v s; Institute of Informatics, Slovak Academy of Sciences, Bratislava and Viet Tran; Institute of Informatics, Slovak Academy of Sciences, Bratislava and Viera \v Sipkov\'a; Institute of Informatics, Slovak Academy of Sciences, Bratislava and Binh Minh Nguyen; School of Information and Communication Technology, Hanoi University of Science and Technology},
title = {Effective Computation Resilience in High Performance and Distributed Environments},
journal = {Computing and Informatics},
volume = {35},
number = {4},
year = {2017},
language = {en},
url = {http://dml.mathdoc.fr/item/cai3537}
}
Ladislav Hluchý; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Giang Nguyen; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Ján Astaloš; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Viet Tran; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Viera Šipková; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Binh Minh Nguyen; School of Information and Communication Technology, Hanoi University of Science and Technology. Effective Computation Resilience in High Performance and Distributed Environments. Computing and Informatics, Tome 35 (2017) no. 4, . http://gdmltest.u-ga.fr/item/cai3537/