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CORR
2011
Springer
265views Education» more  CORR 2011»
14 years 11 months ago
Signal Processing in Large Systems: a New Paradigm
—For a long time, signal processing applications, and most particularly detection and parameter estimation methods, have relied on the limiting behaviour of test statistics and e...
Romain Couillet, Mérouane Debbah
ICDE
2008
IEEE
165views Database» more  ICDE 2008»
16 years 9 months ago
Online Failure Forecast for Fault-Tolerant Data Stream Processing
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
ICSE
2008
IEEE-ACM
16 years 7 months ago
VieDAME - flexible and robust BPEL processes through monitoring and adaptation
VieDAME is a tool for monitoring and dynamic service adaptation of BPEL processes. The tool monitors partner service interaction to compute Quality of Service (QoS) data and perfo...
Oliver Moser, Florian Rosenberg, Schahram Dustdar
IPPS
2009
IEEE
16 years 2 months ago
Elastic scaling of data parallel operators in stream processing
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
16 years 2 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou