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VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 8 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 1 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
DMSN
2004
ACM
14 years 1 months ago
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Ryan Newton, Matt Welsh
PODS
2010
ACM
232views Database» more  PODS 2010»
14 years 1 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
HPDC
2010
IEEE
13 years 9 months ago
Detouring and replication for fast and reliable internet-scale stream processing
iFlow is a replication-based system that can achieve both fast and reliable processing of high volume data streams on the Internet scale. iFlow uses a low degree of replication in...
Christopher McConnell, Fan Ping, Jeong-Hyon Hwang