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pro vyhledávání: '"Jeffrey Buell"'
Autor:
Tilmann Rabl, Todor Ivanov, Anna Queralt, John Poelman, Jeffrey Buell, Meikel Poess, Nicolas Poggi
Publikováno v:
Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things ISBN: 9783319314082
TPCTC
TPCTC
The field of Big Data and related technologies is rapidly evolving. Consequently, many benchmarks are emerging, driven by academia and industry alike. As these benchmarks are emphasizing different aspects of Big Data and, in many cases, covering diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c532e24b8664b89999bc4d4dd987557e
https://doi.org/10.1007/978-3-319-31409-9_9
https://doi.org/10.1007/978-3-319-31409-9_9
Autor:
Joshua E. Simons, Jeffrey Buell
Publikováno v:
ACM SIGOPS Operating Systems Review. 44:136-145
While virtualization is widely used in commercial enterprise environments, it has not to date played any significant role in High Performance Computing (HPC). However, with the rise of cloud computing and its promise of computing on demand, the HPC c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca6d740d61f89ba770b61c11cd146638
https://doi.org/10.1145/1899928.1899946
https://doi.org/10.1145/1899928.1899946
Publikováno v:
BigData Congress
Hadoop is emerging as one of the leading frameworks used by enterprises to help make better business decisions on large data sets. Virtualization technology brings plenty of benefits to Hadoop, including higher resource utilization and cluster reliab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5340d0959fe0d97621001b6207bf1df5
https://doi.org/10.1109/bigdata.congress.2014.89
https://doi.org/10.1109/bigdata.congress.2014.89