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EDBT
2009
ACM
165views Database» more  EDBT 2009»
13 years 5 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos
EDBT
2008
ACM
135views Database» more  EDBT 2008»
14 years 7 months ago
Minimizing latency and memory in DSMS: a unified approach to quasi-optimal scheduling
Data Stream Management Systems (DSMSs) must support optimized execution scheduling of multiple continuous queries on massive, and frequently bursty, data streams. Previous approac...
Yijian Bai, Carlo Zaniolo
DASFAA
2007
IEEE
135views Database» more  DASFAA 2007»
14 years 1 months ago
A Development of Hash-Lookup Trees to Support Querying Streaming XML
Abstract. The rapid growth in the amount of XML data and the development of publish-subscribe systems have led to great interest in processing streaming XML data. We propose the Qs...
James Cheng, Wilfred Ng
EDBTW
2006
Springer
13 years 11 months ago
A Data and Query Model for Streaming Geospatial Image Data
Abstract. Most of the recent work on adaptive processing and continuous querying of data streams assume that data objects come in the form of tuples, thus relying on the relational...
Michael Gertz, Quinn Hart, Carlos Rueda, Shefali S...
ACSW
2004
13 years 9 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...