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ICDE
2011
IEEE
262views Database» more  ICDE 2011»
13 years 7 days ago
Memory-constrained aggregate computation over data streams
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
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
CIKM
2006
Springer
14 years 16 days ago
Maximizing the sustained throughput of distributed continuous queries
Monitoring systems today often involve continuous queries over streaming data, in a distributed collaborative system. The distribution of query operators over a network of process...
Ioana Stanoi, George A. Mihaila, Themis Palpanas, ...
EDBTW
2006
Springer
14 years 14 days ago
Data Stream Sharing
Abstract. Recent research efforts in the fields of data stream processing and data stream management systems (DSMSs) show the increasing importance of processing data streams, e. g...
Richard Kuntschke, Alfons Kemper
CLOUD
2010
ACM
14 years 1 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...