Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Prodan, A"'
Publikováno v:
In Future Generation Computer Systems July 2014 36:221-236
Publikováno v:
In Future Generation Computer Systems January 2014 30:27-43
Autor:
Prodan, Radu, Sperk, Michael
Publikováno v:
In Future Generation Computer Systems September 2013 29(7):1851-1859
Autor:
Prodan, Radu, Nae, Vlad
Publikováno v:
In Future Generation Computer Systems 2009 25(7):785-793
Publikováno v:
In Future Generation Computer Systems 2009 25(3):237-256
Autor:
Prodan, Radu
Publikováno v:
In Future Generation Computer Systems 2007 23(4):587-605
Publikováno v:
WORKS@SC
We introduce a new Manycore Workflow Runtime Environment (MWRE) to efficiently enact traditional scientific workflows on modern manycore computing architectures. MWRE is compiler-based and translates workflows specified in the XML-based Interoperable
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, 2018, 86, pp.961-963. ⟨10.1016/j.future.2018.05.018⟩
Future Generation Computer Systems, Elsevier, 2018, 86, pp.961-963. ⟨10.1016/j.future.2018.05.018⟩
Future Generation Computer Systems, 2018, 86, pp.961-963. ⟨10.1016/j.future.2018.05.018⟩
Future Generation Computer Systems, Elsevier, 2018, 86, pp.961-963. ⟨10.1016/j.future.2018.05.018⟩
International audience; Nowadays, when we face with numerous data, when data cannot be classified into regular relational databases and new solutions are required, and when data are generated and processed rapidly, we need powerful platforms and infr
Publikováno v:
Future Generation Computer Systems, 78(Part 1), 242-244. Elsevier
Pop, F, Iosup, A & Prodan, R 2018, ' HPS-HDS : High Performance Scheduling for Heterogeneous Distributed Systems ', Future Generation Computer Systems, vol. 78, no. Part 1, pp. 242-244 . https://doi.org/10.1016/j.future.2017.09.012
Pop, F, Iosup, A & Prodan, R 2018, ' HPS-HDS : High Performance Scheduling for Heterogeneous Distributed Systems ', Future Generation Computer Systems, vol. 78, no. Part 1, pp. 242-244 . https://doi.org/10.1016/j.future.2017.09.012
Heterogeneous Distributed Systems (HDS) are often characterized by a variety of resources that may or may not be coupled with specific platforms or environments. Such type of systems are Cluster Computing, Grid Computing, Peer-to-Peer Computing, Clou
Publikováno v:
Future Generation Computer Systems. 56:388-406
Reducing energy consumption has become a key issue for data centres, not only because of economical benefits but also for environmental and marketing reasons. Therefore, assessing their energy consumption requires precise models. In the past years, m