Data processing: measuring – calibrating – or testing – Measurement system – Performance or efficiency evaluation
Reexamination Certificate
2005-08-30
2005-08-30
Hoff, Marc S. (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system
Performance or efficiency evaluation
C709S226000
Reexamination Certificate
active
06937961
ABSTRACT:
Embodiments of the present invention relate generally to a monitoring unit and method which counts a number of qualified clusters of a selected event type based on a size threshold, granularity threshold, and distance threshold time. In one embodiment, a qualified cluster is a cluster which meets both the size threshold and granularity threshold. In one embodiment, a qualified cluster is detected and counted by the cluster counter if it occurs at least the distance threshold time after a previous counted qualified cluster. For example, in one implementation, the performance monitor waits until a distance threshold time expires prior to detecting a next qualified cluster. Alternatively, all qualified clusters are detected where the cluster counter counts a qualified cluster only if it occurs at least the distance threshold time after a previous qualified cluster, regardless of whether it was counted by the cluster counter or not.
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Edition 2.8 GNU Emacs Lisp Reference Manual Edition 2.8; 16pp.
Cabral Carlos J.
Nunez Jose M.
Charioui Mohamed
Chiu Joanna G.
Dolezal David G.
Freescale Semiconductor Inc.
Hoff Marc S.
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