Soft failure detection in a network of devices

Electrophotography – Remote monitoring

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C399S009000, C399S010000, C399S011000, C399S016000, C399S018000, C399S042000, C399S075000, C399S082000, C399S085000, C399S087000, C369S125000

Reexamination Certificate

active

07865089

ABSTRACT:
In a method for monitoring hardware devices of the hardware devices network to detect failures, past logged jobs are analyzed to determine a pattern of past usage of hardware devices by users of the hardware devices network. A failure of a hardware device is inferred based on a deviation in usage of the hardware devices from the pattern of past usage. In some embodiments, a state model is constructed that assigns one of two or more available operational states to each hardware device of the hardware devices network based on a recent load of jobs logged to the hardware device and a stored history of logged jobs indicative of typical loading of the hardware devices. One or more failing hardware devices are identified based on the assigned operational states.

REFERENCES:
patent: 2004/0117186 (2004-06-01), Ramakrishnan et al.
patent: 2004/0181712 (2004-09-01), Taniguchi et al.
patent: 2005/0193284 (2005-09-01), Yasuo
patent: 2006/0132826 (2006-06-01), Ciriza et al.
patent: 2006/0206445 (2006-09-01), Andreoli et al.
Andrieu et al., “An Introduction to MCMC for Machine Learning,” Kluwer Academic Publishers, Machine Learning, 50, pp. 5-43 (2003).
Ghahramani et al., “Factorial Hidden Markov Models,” Massachusetts Institute of Technology, pp. 8 (1994).
Lane et al., “Sequence Matching and Learning in Anomaly Detection for Computer Security,” In Proc. of AAAi-97 Workshop on A1 Approaches to Fraud Detection and Risk Management, Providence, RI (1997).
Lee et al., “Algorithms for Non-negative Matrix Factorization,” InNIPS, pp. 556-562 (2000).
Andreoli et al, “Probabilistic Latent Clustering of Device Usage,” IDA Conference, Sep. 10-12, 2005.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Soft failure detection in a network of devices does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Soft failure detection in a network of devices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Soft failure detection in a network of devices will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2688474

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.