Rating interestingness of profiling data subsets

Rating interestingness of profiling data subsets

Systems and methods for rating interestingness of profiling data subsets are described. Profiling data including a set of nodes associated with at least one executed computer program is received. The profiling data contains a first set of scores corresponding to the resource consumption of the nodes...

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Hauptverfasser: SCHEERER JOHANNES, WINTERGERST MICHAEL, SCHREIBER STEFFEN, SCHMELTER RALF, MOSTOWOJ DIETRICH
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator SCHEERER JOHANNES
WINTERGERST MICHAEL
SCHREIBER STEFFEN
SCHMELTER RALF
MOSTOWOJ DIETRICH
description Systems and methods for rating interestingness of profiling data subsets are described. Profiling data including a set of nodes associated with at least one executed computer program is received. The profiling data contains a first set of scores corresponding to the resource consumption of the nodes. A second set of scores is identified from the profiling data, wherein a score of the second set of scores indicates a combined resource consumption of a corresponding node of the set of nodes and at least one other node of the set of nodes related to the corresponding node. An interestingness rate is evaluated for groups of nodes of the set of nodes based on the corresponding scores. The group of nodes with the highest, or satisfactory high value of the calculated interestingness rate is presented.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Rating interestingness of profiling data subsets
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