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» STREAM: The Stanford Stream Data Manager
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VLDB
2005
ACM
196views Database» more  VLDB 2005»
14 years 1 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
14 years 1 months ago
Dynamic Metadata Management for Scalable Stream Processing Systems
Adaptive query processing is of utmost importance for the scalability of data stream processing systems due to the long-running queries and fluctuating stream characteristics. An...
Michael Cammert, Jürgen Krämer, Bernhard...
ICDCS
2008
IEEE
14 years 2 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
ICAC
2005
IEEE
14 years 1 months ago
Distributed Stream Management using Utility-Driven Self-Adaptive Middleware
We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an imp...
Vibhore Kumar, Brian F. Cooper, Karsten Schwan
LCN
2000
IEEE
13 years 12 months ago
End-to-End QoS Management for Delay-Sensitive Scalable Multimedia Streams over DiffServ
The migration of the Internet from classic computer communication to a platform for multimedia applications with real-time communication requires end-to-end improvements of the ne...
Markus Albrecht, Michael Köster, Peter Martin...