Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Irina Botan"'
Publikováno v:
The VLDB Journal, 22 (4)
The VLDB Journal, 22 (4)
ISSN:1066-8888
ISSN:0949-877X
ISSN:1066-8888
ISSN:0949-877X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94813b64d126757a49d85e29e08a7832
http://doc.rero.ch/record/315980/files/778_2012_Article_297.pdf
http://doc.rero.ch/record/315980/files/778_2012_Article_297.pdf
Publikováno v:
The VLDB Journal, 20 (6)
The VLDB Journal, 20 (6)
ISSN:1066-8888
ISSN:0949-877X
ISSN:1066-8888
ISSN:0949-877X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::507d283a1e74fdfee566468fa3e6a89c
http://doc.rero.ch/record/321735/files/778_2011_Article_229.pdf
http://doc.rero.ch/record/321735/files/778_2011_Article_229.pdf
Publikováno v:
Proceedings of the VLDB Endowment. 3:232-243
There are many academic and commercial stream processing engines (SPEs) today, each of them with its own execution semantics. This variation may lead to seemingly inexplicable differences in query results. In this paper, we present SECRET, a model of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edd478c8a31564f1c7e5eda52c49dd0a
https://doi.org/10.14778/1920841.1920874
https://doi.org/10.14778/1920841.1920874
Publikováno v:
EDBT
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query execution over these data sources in the face of concurrent access and failure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013cba480f55ee6786472286aa1dcc0f
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60236
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60236
Autor:
Laura M. Haas, Beomjin Yun, Nesime Tatbul, Ming-Chien Shan, Chulwon Lee, Ying Yan, Ankush Gupta, Girish Mundada, Kihong Kim, Jin Zhang, Irina Botan, Roozbeh Derakhshan, Younggoo Cho, Nihal Dindar
Publikováno v:
ICDE
MaxStream is a federated stream processing system that seamlessly integrates multiple autonomous and heterogeneous Stream Processing Engines (SPEs) and databases. In this paper, we propose to demonstrate the key features of MaxStream using two applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3d247d38e9bc0d3f00b6146f5fa4611
https://doi.org/10.1109/icde.2010.5447906
https://doi.org/10.1109/icde.2010.5447906
Autor:
Roozbeh Derakhshan, Irina Botan, Kihong Kim, Nesime Tatbul, Younggoo Cho, Nihal Dindar, Laura M. Haas
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783642145582
BIRTE
BIRTE
In this paper, we describe the MaxStream federated stream processing architecture to support real-time business intelligence applications. MaxStream builds on and extends the SAP MaxDB relational database system in order to provide a federator over m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::617f9a562e293fb9272e354c283fbe34
https://doi.org/10.1007/978-3-642-14559-9_2
https://doi.org/10.1007/978-3-642-14559-9_2
Publikováno v:
EDBT
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing internal states of continuous query operators, traffic on the queues b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d82f6aef23d87aae18c3db09af85c32b
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60284
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60284