Empirical study of topology effects on diagnosis in computer networks

2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS

Volumn , Issue , 2007, Pages

  Odintsova, Natalia ^a   Rish, Irina ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN-NETWORK MODELS; COST-EFFICIENT; DIAGNOSTIC METHODS; DISTRIBUTED SYSTEMS; EMPIRICAL STUDIES; END-TO-END NETWORK; FAULT DETECTION AND DIAGNOSIS; PROBABILISTIC DIAGNOSIS; RANDOM GRAPHS; RANDOM NETWORKS; SCALE-FREE NETWORKS; SENSOR SYSTEMS; TOPOLOGICAL PROPERTIES;

BAYESIAN NETWORKS; CHLORINE COMPOUNDS; COMPUTATIONAL COMPLEXITY; COMPUTERS; COSTS; DISTRIBUTED COMPUTER SYSTEMS; DISTRIBUTED PARAMETER NETWORKS; FAULT DETECTION; FINANCE; GRAPH THEORY; HEALTH; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTERNET; MATHEMATICAL TECHNIQUES; SENSORS; SPEECH ANALYSIS; SPEECH RECOGNITION; TESTING; TOPOLOGY;

COMPUTER NETWORKS;

EID: 50249088854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MOBHOC.2007.4428682     Document Type: Conference Paper

References (8)

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7. I. Rish, M. Brodie, S. Ma, N. Odintsova, A. Beygelzimer, G. Grabarnik, K. Hernandez, Adaptive diagnosis in distributed systems, IEEE Transactions on Neural Networks (special issue on Adaptive Learning Systems in Communication Networks), Vol.16, No.5, pages 1088-1109, 2005.
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