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» Load Shedding for Aggregation Queries over Data Streams
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APWEB
2008
Springer
14 years 11 months ago
Aggregate Computation over Data Streams
Abstract. Nowadays, we have witnessed the widely recognized phenomenon of high speed data streams. Various statistics computation over data streams is often required by many applic...
Xuemin Lin, Ying Zhang
90
Voted
SIGMOD
2004
ACM
107views Database» more  SIGMOD 2004»
15 years 9 months ago
Static Optimization of Conjunctive Queries with Sliding Windows Over Infinite Streams
We define a framework for static optimization of sliding window conjunctive queries over infinite streams. When computational resources are sufficient, we propose that the goal of...
Ahmed Ayad, Jeffrey F. Naughton
TKDE
2008
169views more  TKDE 2008»
14 years 9 months ago
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
Michael Cammert, Jürgen Krämer, Bernhard...
EDBT
2008
ACM
206views Database» more  EDBT 2008»
15 years 9 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
SIGMOD
2005
ACM
168views Database» more  SIGMOD 2005»
15 years 9 months ago
No pane, no gain: efficient evaluation of sliding-window aggregates over data streams
Window queries are proving essential to data-stream processing. In this paper, we present an approach for evaluating sliding-window aggregate queries that reduces both space and c...
Jin Li, David Maier, Kristin Tufte, Vassilis Papad...