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» Data streams: algorithms and applications
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INFOCOM
2007
IEEE
16 years 1 months ago
Multicast Scheduling in Cellular Data Networks
— Multicast is an efficient means of transmitting the same content to multiple receivers while minimizing network resource usage. Applications that can benefit from multicast s...
Hyungsuk Won, Han Cai, Do Young Eun, Katherine Guo...
210
Voted
IPPS
2007
IEEE
16 years 1 months ago
Storage Optimization for Large-Scale Distributed Stream Processing Systems
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...
234
Voted
CORR
2006
Springer
186views Education» more  CORR 2006»
15 years 7 months ago
SASE: Complex Event Processing over Streams
RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of dat...
Daniel Gyllstrom, Eugene Wu 0002, Hee-Jin Chae, Ya...
213
Voted
JCST
2010
153views more  JCST 2010»
15 years 1 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
187
Voted
IEEESCC
2006
IEEE
16 years 1 months ago
Control the Flow: How to Safely Compose Streaming Services into Business Processes
Although workflow languages are widely used for composing discrete services, these are not suitable for stream based interactions. In this paper we address the problem of how to ...
Biörn Biörnstad, Cesare Pautasso, Gustav...