METHOD FOR VISUALIZING MONITORING DATA
First Claim
1. A method for visualizing monitoring data, comprising the steps of:
- generating at least one context from the monitoring data based on a user-provided schema definition;
mapping the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping;
organizing the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context;
using the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context; and
visualizing the at least one quantified trend in the data.
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Abstract
Techniques for visualizing monitoring data are provided. The techniques include generating at least one context from the monitoring data based on a user-provided schema definition, mapping the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping, organizing the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context, using the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context, and visualizing the at least one quantified trend in the data.
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Citations
20 Claims
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1. A method for visualizing monitoring data, comprising the steps of:
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generating at least one context from the monitoring data based on a user-provided schema definition; mapping the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping; organizing the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context; using the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context; and visualizing the at least one quantified trend in the data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product comprising a computer readable medium having computer readable program code for visualizing monitoring data, said computer program product including:
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computer readable program code for generating at least one context from the monitoring data based on a user-provided schema definition; computer readable program code for mapping the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping; computer readable program code for organizing the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context; computer readable program code for using the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context; and computer readable program code for visualizing the at least one quantified trend in the data. - View Dependent Claims (11, 12, 13, 14)
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15. A system for visualizing monitoring data, comprising:
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a memory; and at least one processor coupled to said memory and operative to; generate at least one context from the monitoring data based on a user-provided schema definition; map the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping; organize the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context; use the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context; and visualize the at least one quantified trend in the data. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification