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CLOUD
2010
ACM
15 years 4 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...
176
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SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
15 years 12 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
CCGRID
2006
IEEE
15 years 5 months ago
Calder Query Grid Service: Insights and Experimental Evaluation
We have architected and evaluated a new kind of data resource, one that is composed of a logical collection of ephemeral data streams that could be viewed as a collection of publi...
Nithya N. Vijayakumar, Ying Liu, Beth Plale
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 6 months ago
Distributed Inference and Query Processing for RFID Tracking and Monitoring
In this paper, we present the design of a scalable, distributed stream processing system for RFID tracking and monitoring. Since RFID data lacks containment and location informati...
Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J....
GRID
2006
Springer
14 years 11 months ago
Stream processing in data-driven computational science
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Ying Liu, Nithya N. Vijayakumar, Beth Plale