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ISCI
2006
145views more  ISCI 2006»
13 years 4 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...
VLDB
2004
ACM
113views Database» more  VLDB 2004»
13 years 10 months ago
Resource Sharing in Continuous Sliding-Window Aggregates
We consider the problem of resource sharing when processing large numbers of continuous queries. We specifically address sliding-window aggregates over data streams, an important...
Arvind Arasu, Jennifer Widom
SAC
2008
ACM
13 years 4 months ago
Continuous k-dominant skyline computation on multidimensional data streams
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 5 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
SIGMOD
2010
ACM
377views Database» more  SIGMOD 2010»
13 years 9 months ago
Online aggregation and continuous query support in MapReduce
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....