Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nihal Dindar"'
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:
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
Publikováno v:
IEEE Pervasive Computing. 8:34-41
Complex event processing (CEP) is an essential functionality for cross-reality environments. Through CEP, we can turn raw sensor data generated in the real world into more meaningful information that has some significance for the virtual world. In th
Publikováno v:
DEBS
Recognition of patterns in event streams has become important in many application areas of Complex Event Processing (CEP) including financial markets, electronic health-care systems, and security monitoring systems. In most applications, patterns hav
Publikováno v:
DEBS
This short paper provides an overview of the DejaVu complex event processing (CEP) system, with an emphasis on its novel architecture and query optimization techniques for correlating patterns across live and historical data streams.
Publikováno v:
DEBS
Correlating complex events over live and archived data streams, which we call Pattern Correlation Queries (PCQs), provides many benefits for domains which need real time forecasting of events or identification of causal dependencies, while handling d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865fc6826a6668c09980a63936920f74
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60240
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/60240
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
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
Autor:
Nihal Dindar, Florian Keusch, Nesime Tatbul, Ali Sengul, Cagri Balkesen, Gautier Boder, Katinka Kromwijk
With recent developments in Web technologies enabling interaction in virtual environments, as well as the ones in sensor network technologies enabling interaction with the real world, we see an emerging trend towards bringing these two worlds togethe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0b45feb15740e15f808ffc7e841f2dc
https://doi.org/10.4018/978-1-60566-384-5.ch041
https://doi.org/10.4018/978-1-60566-384-5.ch041