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DEBS
2008
ACM
11 years 3 months ago
Real-time, load-adaptive processing of continuous queries over data streams
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
VLDB
2005
ACM
140views Database» more  VLDB 2005»
11 years 7 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
CIKM
2005
Springer
11 years 7 months ago
Adaptive load shedding for windowed stream joins
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
SAC
2005
ACM
11 years 7 months ago
Quality-driven evaluation of trigger conditions on streaming time series
For many applications, it is important to evaluate trigger conditions on time series streams. In a resource constrained environment, users’ needs should ultimately decide how th...
Like Gao, Min Wang, Xiaoyang Sean Wang
ICDE
2006
IEEE
141views Database» more  ICDE 2006»
11 years 7 months ago
Dealing with Overload in Distributed Stream Processing Systems
Overload management has been an important problem for large-scale dynamic systems. In this paper, we study this problem in the context of our Borealis distributed stream processin...
Nesime Tatbul, Stanley B. Zdonik
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
11 years 7 months ago
Query-Aware Sampling for Data Streams
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
11 years 7 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
11 years 8 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo
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