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CLOUD
2010
ACM
13 years 11 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...
ICDE
2008
IEEE
125views Database» more  ICDE 2008»
14 years 7 months ago
Just-In-Time Processing of Continuous Queries
In a data stream management system, a continuous query is processed by an execution plan consisting of multiple operators connected via the "consumer-producer" relationsh...
Yin Yang, Dimitris Papadias
PODS
2004
ACM
147views Database» more  PODS 2004»
14 years 6 months ago
Flexible Time Management in Data Stream Systems
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...
Utkarsh Srivastava, Jennifer Widom
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 6 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo

Publication
309views
15 years 6 months ago
SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams
This paper presents the Scalable On-Line Execution algorithm (SOLE, for short) for continuous and on-line evaluation of concurrent continuous spatio- temporal queries over data str...
Mohamed F. Mokbel, Walid G. Aref