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» Analyzing concurrency in streaming applications
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EDBT
2009
ACM
137views Database» more  EDBT 2009»
13 years 7 months ago
Flexible and scalable storage management for data-intensive stream processing
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing...
Irina Botan, Gustavo Alonso, Peter M. Fischer, Don...
ACMACE
2006
ACM
14 years 3 months ago
Wireless home entertainment center: reducing last hop delays for real-time applications
Future digital entertainment services available to home users will share several characteristics: i) they will be deployed and delivered through the Internet, ii) a single media c...
Claudio E. Palazzi, Giovanni Pau, Marco Roccetti, ...
EDBT
2009
ACM
104views Database» more  EDBT 2009»
14 years 4 months ago
A query processor for prediction-based monitoring of data streams
Networks of sensors are used in many different fields, from industrial applications to surveillance applications. A common feature of these applications is the necessity of a mo...
Sergio Ilarri, Ouri Wolfson, Eduardo Mena, Arantza...
CIDR
2007
111views Algorithms» more  CIDR 2007»
13 years 11 months ago
The Case for a Signal-Oriented Data Stream Management System
Sensors capable of sensing phenomena at high data rates—on the order of tens to hundreds of thousands of samples per second—are useful in many industrial, civil engineering, s...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
LCTRTS
2005
Springer
14 years 3 months ago
Cache aware optimization of stream programs
Effective use of the memory hierarchy is critical for achieving high performance on embedded systems. We focus on the class of streaming applications, which is increasingly preval...
Janis Sermulins, William Thies, Rodric M. Rabbah, ...