Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Darin Nikolow"'
Publikováno v:
TASK Quarterly, Vol 8, Iss 4 (2004)
Grid computing has recently gained in popularity. Grid applications can be very demanding of the data storage facilities in the Grid. The existing data grid services are often insufficient and additional optimization of the data access is necessary.
Externí odkaz:
https://doaj.org/article/5b1b5d6f911649cc87c7d5d539b01f08
Autor:
Renata Słota, Dariusz Krol, Kornel Skałkowski, Michal Orzechowski, Darin Nikolow, Bartosz Kryza, Michal Wrzeszcz, Jacek Kitowski
Publikováno v:
Computer Science, Vol 13, Iss 1, p 63 (2012)
This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which supports storage QoS provisioning for data-intensive applications in distributed environments. QStorMan exploits knowledge-oriented methods for matchin
Externí odkaz:
https://doaj.org/article/5213710f9d98443e8e2ed5ad438ea2c5
Publikováno v:
Computer Science, Vol 13, Iss 3, p 35 (2012)
Traditional data storage systems provide access to user’s data on the “besteffort” basis. While this paradigm is sufficient in many use cases it becomesan obstacle for applications with Quality of Service (QoS) constraints. ServiceLevel Agreeme
Externí odkaz:
https://doaj.org/article/2a79cd9e4523451e94ed90424ec230a9
Autor:
Jacek Kitowski, Renata Slota, Tomasz Lichoń, Michał Wrzeszcz, R. Słota, Darin Nikolow, Łukasz Dutka
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319780238
PPAM (1)
PPAM (1)
Developing and deploying a global and scalable data access service is a challenging task. We assume that the globalization is achieved by creating and maintaining appropriate metadata while the scalability is achieved by limiting the number of entiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abaeb698bebbaa9bee3ec946664a7a89
https://doi.org/10.1007/978-3-319-78024-5_41
https://doi.org/10.1007/978-3-319-78024-5_41
Autor:
Łukasz Opioła, Konrad Zemek, Renata Slota, R. Słota, Jacek Kitowski, Krzysztof Trzepla, Michał Wrzeszcz, Łukasz Dutka, Tomasz Lichoń, Darin Nikolow
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319321486
PPAM (1)
PPAM (1)
The Big Data revolution means that large amounts of data have not only to be stored, but also to be processed to unlock the potential of access to information and knowledge for scientific research. As a result, scientific communities require simple a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1626661843060c7ce96fb2cab71c49ef
https://doi.org/10.1007/978-3-319-32149-3_30
https://doi.org/10.1007/978-3-319-32149-3_30
Publikováno v:
Computer Science. 19:405
There is high demand for storage related services supporting scientists in their research activities. Those services are expected to provide not only capacity but also features allowing for more flexible and cost efficient usage. Such features includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac82f6fbae5b4845caef8c6c1e439cb
https://doi.org/10.7494/csci.2018.19.4.2878
https://doi.org/10.7494/csci.2018.19.4.2878
Autor:
Darin Nikolow, Renata Slota, Łukasz Dutka, Michał Wrzeszcz, Dariusz Król, Bartosz Kryza, Jacek Kitowski
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783642552236
PPAM (1)
PPAM (1)
With the increasing amount of data the research community is facing problems with methods of effectively accessing, storing, and processing data in large scale and geographically distributed environments. This paper addresses major data management is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfaa6a37dac76f551818609632d609b2
https://doi.org/10.1007/978-3-642-55224-3_68
https://doi.org/10.1007/978-3-642-55224-3_68
Autor:
Darin Nikolow
Publikováno v:
COMPUTING AND INFORMATICS; Vol 31, No 6 (2012): Computing and Informatics; 1345-1366
The distributed computing environments, e.g. clouds, often deal with huge amounts of data, which constantly increase. The global growth of data is caused by ubiquitous personal devices, enterprise and scientific applications, etc. As the size of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn13359150::f870a7c113e53d3df2141eccd7b79017
http://www.cai.sk/ojs/index.php/cai/article/view/1311
http://www.cai.sk/ojs/index.php/cai/article/view/1311
Publikováno v:
Computer Science, Vol 13, Iss 3, p 35 (2012)
Traditional data storage systems provide access to user’s data on the “best effort” basis. While this paradigm is sufficient in many use cases it becomes an obstacle for applications with Quality of Service (QoS) constraints. Service Level Agre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db9666f5c414400ca688dfcd139aaef8
http://journals.agh.edu.pl/csci/article/download/36/29
http://journals.agh.edu.pl/csci/article/download/36/29
Publikováno v:
Remote Instrumentation for eScience and Related Aspects ISBN: 9781461405078
In this chapter, we intend to introduce a novel approach to data management within the Grid environment based on user-defined storage policies. This approach aims at enabling Grid application developers to specify requirements concerning storage elem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf822283137f2403fc7a7e607a7baa3
https://doi.org/10.1007/978-1-4614-0508-5_17
https://doi.org/10.1007/978-1-4614-0508-5_17