Method for performance bottleneck diagnosis and dependency...

Details Method for performance bottleneck diagnosis and dependency... Method for performance bottleneck diagnosis and dependency...

2011-02-15

2011-02-15

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S045000

Reexamination Certificate

active

07890449

ABSTRACT:
A method for performance bottleneck diagnosis and dependency discovery in distributed systems and computer networks includes receiving a real-valued end-to-end measurement matrix, a number of end-to-end measurements, a number of time points, a number of network components, a loss function, and a plurality of constraints on output matrices. The method further includes learning basic output matrices by best approximation of a transpose of the real-valued end-to-end measurement matrix, selecting a first threshold based on a real-valued mixing-weights matrix and a second threshold based on a real-valued delay matrix, converting the real-valued mixing-weights matrix and the real-valued delay matrix into respective binary matrices using the first threshold and the second threshold, and returning the real-valued mixing-weights matrix, the real-valued delay matrix, and the respective binary matrices to represent bottlenecks dependencies of the distributed system or computer network.

REFERENCES:
Chen, et al., Tomography-based Overlay Network Monitoring, IMC'03, Oct. 29, 2003, pp. 216-221.
S. Klinger et al., “A Coding Approach to Event Correlation”, Proceedings of the Fourth International Symposium on Integrated Network Management IV, p. 266-277, 1995.
R. Castro et al., “Network Tomography: Recent Developments”, Statistical Science, 19(3): 499-517, 2004.
Non-negative Matrix Factorization with Sparseness Constraints, [online]; [retrieved Aug. 30, 2007]; retrieved from the Internet http://www.cs.helsinki.fi/u/phoyer/papers/pdf/NMFscweb.pdf.
Adaptive Diagnosis in Distributed Systems, [online]; [retrieved Sep. 12, 2007]; retrieved from the Internet http://researchweb.watson.ibm.com/people/r/rish/papers/IEEE.pdf.

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