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IPPS
2005
IEEE
15 years 7 months ago
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these ...
Beth Plale, Nithya N. Vijayakumar
VLDB
2002
ACM
113views Database» more  VLDB 2002»
15 years 1 months ago
Streaming Queries over Streaming Data
Recent work on querying data streams has focused on systems where newly arriving data is processed and continuously streamed to the user in real-time. In many emerging application...
Sirish Chandrasekaran, Michael J. Franklin
SIGMOD
2003
ACM
104views Database» more  SIGMOD 2003»
16 years 1 months ago
TelegraphCQ: Continuous Dataflow Processing
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed...
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande...
INFFUS
2008
175views more  INFFUS 2008»
15 years 1 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
15 years 7 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...