Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pietzuch, PR"'
Publikováno v:
USENIX ATC ’14: 2014 USENIX Annual Technical Conference
USENIX Annual Technical Conference (USENIX ATC)
USENIX Annual Technical Conference (USENIX ATC)
Data scientists often implement machine learning algo- rithms in imperative languages such as Java, Matlab and R. Yet such implementations fail to achieve the per- formance and scalability of specialised data-parallel pro- cessing frameworks. Our goa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a471335bdb97ffac06aa9bb418e2f0e
Publikováno v:
ACM Conference on Management of Data (SIGMOD)
Distributed dataflow systems such as Apache Spark and Apache Flink are used to derive new insights from large datasets. While they efficiently execute concrete data processing workflows, expressed as dataflow graphs, they lack generic support for exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::23e45c1b82cc3713d6a2748229f67e5b
http://hdl.handle.net/10044/1/58752
http://hdl.handle.net/10044/1/58752
Publikováno v:
IEEE International Conference on Cloud Engineering (IC2E), 2017
Due to their scalability and low cost, object-based storage systems are an attractive storage solution and widely deployed. To gain valuable insight from the data residing in object storage but avoid expensive copying to a distributed filesystem (e.g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::3dc0396f047b6d1a85351232db08cb3c
http://hdl.handle.net/10044/1/44806
http://hdl.handle.net/10044/1/44806
Autor:
Pietzuch, PR, Arnautov, S, Trach, B, Gregor, F, Knauth, T, Martin, A, Priebe, C, Lind, J, Muthukumaran, D, O'Keeffe, D, Stillwell, M, Goltzsche, D, Eyers, D, Rüdiger, K, Fetzer, C
Publikováno v:
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2016
In multi-tenant environments, Linux containers managed by Docker or Kubernetes have a lower resource footprint, faster startup times, and higher I/O performance com- pared to virtual machines (VMs) on hypervisors. Yet their weaker isolation guarantee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::0c2c740195575f38f48622557d7723e2
http://hdl.handle.net/10044/1/42263
http://hdl.handle.net/10044/1/42263
Publikováno v:
DEBS 2016
Heterogeneous architectures that combine multi-core CPUs with many-core GPGPUs have the potential to improve the performance of data-intensive stream processing applications. Yet, a stream pro- cessing engine must execute streaming SQL queries with s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::780210453bd73058516ff387e3657da9
http://hdl.handle.net/10044/1/41256
http://hdl.handle.net/10044/1/41256
© 2014 ACM.Data centre applications for batch processing (e.g. map/reduce frameworks) and online services (e.g. search engines) scale by distributing data and computation across many servers. They typically follow a partition/aggregation pattern: ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::0751330f97332ba7ad6ae3f443a899b9
http://hdl.handle.net/10044/1/18496
http://hdl.handle.net/10044/1/18496
Autor:
Castro Fernandez, R, Pietzuch, PR, Koshy, J, Kreps, J, Lin, D, Narkhede, N, Rao, J, Riccomini, C, Wang, G
Publikováno v:
Seventh Biennial Conference on Innovative Data Systems Research (CIDR)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::269f0bb0532adcf4c1b801abe3be5c6f
http://hdl.handle.net/10044/1/23433
http://hdl.handle.net/10044/1/23433
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.