Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Gilles Fedak"'
Autor:
Gilles Fedak, Bing Tang
Publikováno v:
IEEE Transactions on Big Data. 8:85-98
In this paper, we propose a hybrid storage framework WukaStore, which offers a scalable, configurable and reliable big data storage service by integrating stable storage (such as Cloud storage or durable storage utilities) and volatile storage (such
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, 2015, 55, pp.17. ⟨10.1016/j.future.2015.05.015⟩
Future Generation Computer Systems, Elsevier, 2015, 55, pp.17. ⟨10.1016/j.future.2015.05.015⟩
Future Generation Computer Systems, 2015, 55, pp.17. ⟨10.1016/j.future.2015.05.015⟩
Future Generation Computer Systems, Elsevier, 2015, 55, pp.17. ⟨10.1016/j.future.2015.05.015⟩
The Big Data challenge consists in managing, storing, analyzing and visualizing these huge and ever growing data sets to extract sense and knowledge. As the volume of data grows exponentially, the management of these data becomes more complex in prop
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:2416-2439
SUMMARY Cloud computing has increasingly been used as a platform for running large business and data processing applications. Conversely, Desktop Grids have been successfully employed in a wide range of projects, because they are able to take advanta
Publikováno v:
Concurrency and Computation: Practice and Experience. 27:4140-4155
This paper introduces HybridMR, a novel model for the execution of MapReduce (MR) computation on hybrid computing environment. Using this model, high performance cloud resources and heterogeneous desktop personal computers (PCs) in Internet or Intran
Publikováno v:
International Journal of High Performance Computing and Networking. 16:55
With the emergence of big data, data scheduling is becoming an important field of research in distributed computing. Software data scheduler often relies on data management policies that can be defined by the user and provide high level features. Suc
Publikováno v:
Key Engineering Materials
Many crucial processes of damage initiation and propagation take place dynamically in the wide observable time domain from 10-3 seconds to 103 seconds and on the many scales from 10 6 m (solitary defects places) to 10-2 m (correlated linked network o
Autor:
Gábor Gombás, Gilles Fedak, Zoltan Farkas, Oleg Lodygensky, Haiwu He, Gabor Kecskemeti, Péter Kacsuk, Etienne Urbah, Gabriel Caillat, Róbert Lovas, József Kovács, Zoltán Balaton, Adam Kornafeld, Attila Csaba Marosi
Publikováno v:
Journal of Grid Computing
Journal of Grid Computing, Springer Verlag, 2009, 7, pp.335-354. ⟨10.1007/s10723-009-9137-0⟩
Journal of Grid Computing, 2009, 7, pp.335-354. ⟨10.1007/s10723-009-9137-0⟩
OpenAIRE
Journal of Grid Computing, Springer Verlag, 2009, 7, pp.335-354. ⟨10.1007/s10723-009-9137-0⟩
Journal of Grid Computing, 2009, 7, pp.335-354. ⟨10.1007/s10723-009-9137-0⟩
OpenAIRE
Desktop Grids, such as XtremWeb and BOINC, and Service Grids, such as EGEE, are two different approaches for science communities to gather computing power from a large number of computing resources. Nevertheless, little work has been done to combine
Publikováno v:
Journal of Network and Computer Applications. 32:961-975
Desktop Grids use the computing, network and storage resources from idle desktop PCs distributed over multiple-LANs or the Internet to compute a large variety of resource-demanding distributed applications. While these applications need to access, co
Publikováno v:
Parallel Processing Letters
Current infrastructures for Volunteer Computing follow a centralized architecture for data distribution, creating a potential bottleneck when tasks require large input files or the central server has limited bandwidth. In this paper we propose two ne
Publikováno v:
Information Sciences
Information Sciences, Elsevier, 2016, 379, pp.94--111. ⟨10.1016/j.ins.2016.09.030⟩
Information Sciences, 2016, 379, pp.94--111. ⟨10.1016/j.ins.2016.09.030⟩
Information Sciences, Elsevier, 2016, 379, pp.94--111. ⟨10.1016/j.ins.2016.09.030⟩
Information Sciences, 2016, 379, pp.94--111. ⟨10.1016/j.ins.2016.09.030⟩
International audience; MapReduce offers an ease-of-use programming paradigm for processing large datasets. In our previous work, we have designed a MapReduce framework called BitDew-MapReduce for desktop grid and volunteer computing environment, tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf0db48fb080db455a6c5d52b170188
https://hal.inria.fr/hal-01426393
https://hal.inria.fr/hal-01426393