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» Scalable Planning for Distributed Stream Processing Systems
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VLDB
2007
ACM
169views Database» more  VLDB 2007»
15 years 9 months ago
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
Nesime Tatbul, Stanley B. Zdonik, Ugur Çeti...
CLOUD
2010
ACM
15 years 2 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...
114
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ICDE
2006
IEEE
147views Database» more  ICDE 2006»
15 years 3 months ago
Optimizing Multiple Queries in Distributed Data Stream Systems
We consider the problem of query optimization in distributed stream based systems where multiple continuous queries may be executing simultaneously. In such systems, distribution ...
Sangeetha Seshadri, Vibhore Kumar, Brian F. Cooper
DEBS
2008
ACM
14 years 11 months ago
BFSiena: a communication substrate for StreamMine
StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-...
Zbigniew Jerzak, Christof Fetzer
VLDB
2007
ACM
129views Database» more  VLDB 2007»
15 years 3 months ago
Processing Forecasting Queries
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...
Songyun Duan, Shivnath Babu