System and method for detecting system relationships by...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

08065256

ABSTRACT:
Relationships between systems can be inferred through a correlation analysis of the system workload activity levels. A method, computer readable medium and system are provided for analyzing correlations between the system workloads. The method comprises obtaining a set of quantile-based workload data pertaining to a plurality of systems. The correlation coefficient limit may then be used to compute the workload correlation scores for the plurality of systems and a result indicative of relationships between the systems then provided.

REFERENCES:
patent: 2003/0009507 (2003-01-01), Shum
patent: 2006/0161648 (2006-07-01), Ding et al.
patent: 2007/0016687 (2007-01-01), Agarwal et al.
patent: 2007/0039132 (2007-02-01), Jung et al.
patent: 2007/0168154 (2007-07-01), Ericson
Wandeler, E ; Thiele. L; “Characterizing Work Load Correlations in Multi Processor Hard Real-Time Systems”; Proceedings of the 11thIEEE Real Time and Embedded Technology and Applications Symposium (RTAS '05); Mar. 7 to 10, 2005; pp. 46 to 55.
Fortin, J; Search Report from International PCT Application No. PCT/CA2009/000387; search completed Jul. 30, 2009.

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

System and method for detecting system relationships by... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for detecting system relationships by..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for detecting system relationships by... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4309178

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