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HPDC
2008
IEEE
15 years 4 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 5 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
DSN
2005
IEEE
15 years 3 months ago
Design Time Reliability Analysis of Distributed Fault Tolerance Algorithms
Designing a distributed fault tolerance algorithm requires careful analysis of both fault models and diagnosis strategies. A system will fail if there are too many active faults, ...
Elizabeth Latronico, Philip Koopman
IJCAI
2001
14 years 11 months ago
Distributed Monitoring of Hybrid Systems: A model-directed approach
This paper presents an efficient online mode estimation algorithm for a class of sensor-rich, distributed embedded systems, the so-called hybrid systems. A central problem in dist...
Feng Zhao, Xenofon D. Koutsoukos, Horst W. Haussec...
ICAC
2008
IEEE
15 years 4 months ago
Guided Problem Diagnosis through Active Learning
There is widespread interest today in developing tools that can diagnose the cause of a system failure accurately and efficiently based on monitoring data collected from the syst...
Songyun Duan, Shivnath Babu