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» Aurora: A Data Stream Management System
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132
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CISIS
2009
IEEE
14 years 11 months ago
Evaluation of a Framework for Dynamic Source Selection in Stream Processing
The volume of stream data delivered from different information sources is increasing. There are a variety of demands to utilize such stream data for applications. Stream processin...
Kousuke Ohki, Yousuke Watanabe, Hiroyuki Kitagawa
SIGMOD
2004
ACM
126views Database» more  SIGMOD 2004»
16 years 2 months ago
StreaMon: An Adaptive Engine for Stream Query Processing
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
Shivnath Babu, Jennifer Widom
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
16 years 3 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
ICEBE
2005
IEEE
168views Business» more  ICEBE 2005»
15 years 7 months ago
Frequency Operators for Condensative Queries over Data Streams
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...
Lisha Ma, Werner Nutt
128
Voted
CLOUD
2010
ACM
15 years 7 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...