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» ACDS: Adapting Computational Data Streams for High Performan...
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TDSC
2011
13 years 5 months ago
CASTLE: Continuously Anonymizing Data Streams
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...
Jianneng Cao, Barbara Carminati, Elena Ferrari, Ki...
INFFUS
2008
175views more  INFFUS 2008»
13 years 10 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
CLOUDCOM
2010
Springer
13 years 8 months ago
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud comput...
Kalpa Gunaratna, Paul Anderson, Ajith Ranabahu, Am...
ICDCS
2012
IEEE
12 years 23 days ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
COMCOM
2007
119views more  COMCOM 2007»
13 years 10 months ago
A new high rate adaptive wireless data dissemination scheme
With the increasing popularity of wireless networks and mobile computing, data broadcasting has emerged as an efficient way of delivering data to mobile clients having a high degr...
Petros Nicopolitidis, Georgios I. Papadimitriou, M...