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CLOUD
2010
ACM
14 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...
SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
14 years 9 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
14 years 3 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»
13 years 3 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
13 years 9 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