Method and system for anomaly detection and presentation
First Claim
1. A method of anomaly identification, said method comprising:
- collecting, using at least one computer processor, one or more installation logs;
analyzing the one or more installation logs to identify a plurality of installations from a plurality of servers;
displaying representations of said plurality of servers on a two dimensional grid, wherein said plurality of servers are sorted along a first dimension wherein a server with fewer of said plurality of installations is automatically displayed toward one side of said first dimension compared to a second server having more of said plurality of installations;
displaying representations of said plurality of installations on said two dimensional grid, wherein said plurality of installations is sorted along a second dimension wherein a first installation which is on fewer of said plurality of servers is automatically displayed toward one side of said second dimension compared to a second installation which is on more of said plurality of servers;
visually grouping said plurality of servers within said two dimensional grid according to business groups and arranged within each group of the business groups based on compliance metrics; and
displaying a matrix of cells corresponding to intersections of said plurality of servers and said plurality of installations.
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Abstract
A system and method for anomaly detection and presentation. The method of anomaly detection and presentation comprises receiving information for a plurality of traits from a plurality of servers. A first server has fewer of the plurality of traits than a second server. A first trait is on fewer of the plurality of servers than a second trait. The plurality of servers is rendered in a graphical display wherein the first server is positioned to one side of the second server based on respective numbers of traits had by the first and second servers. The first trait is rendered in the graphical display to one side of the second trait based on respective numbers of systems having the first and second traits. A table may be displayed in a cell in response to a user request. Anomalous traits may be displayed in an anomaly table.
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Citations
19 Claims
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1. A method of anomaly identification, said method comprising:
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collecting, using at least one computer processor, one or more installation logs; analyzing the one or more installation logs to identify a plurality of installations from a plurality of servers; displaying representations of said plurality of servers on a two dimensional grid, wherein said plurality of servers are sorted along a first dimension wherein a server with fewer of said plurality of installations is automatically displayed toward one side of said first dimension compared to a second server having more of said plurality of installations; displaying representations of said plurality of installations on said two dimensional grid, wherein said plurality of installations is sorted along a second dimension wherein a first installation which is on fewer of said plurality of servers is automatically displayed toward one side of said second dimension compared to a second installation which is on more of said plurality of servers; visually grouping said plurality of servers within said two dimensional grid according to business groups and arranged within each group of the business groups based on compliance metrics; and displaying a matrix of cells corresponding to intersections of said plurality of servers and said plurality of installations. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of characteristic presentation, said method comprising:
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receiving one or more installation logs; analyzing the one or more installation logs to identify a plurality of traits from a plurality of servers, wherein a first server of said plurality of servers has fewer of said plurality of traits than a second server of said plurality of servers, wherein a first trait of said plurality of traits is on fewer of said plurality of servers than a second trait of said plurality of traits, wherein said plurality of traits comprises at least one of software packages, health checks, compliance metrics, programs, and patches; rendering, using at least one computer processor, a graphical display wherein said first server is positioned to one side of said second server along a first dimension based on respective numbers of traits had by said first and second servers; rendering within said graphical display said first trait to one side second trait along a second dimension based on respective numbers of systems having said first and second traits; visually grouping said plurality of servers within said graphical display according to business groups and arranged within each group of the business groups based on compliance metrics; and rendering within said graphical display an array of cells corresponding to intersections of said plurality of servers and said plurality of traits. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A system comprising:
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a processor; and memory coupled to the processor, wherein said memory comprises instructions that when executed cause said system to perform a method of anomaly identification, said method comprising; collecting one or more installation logs; analyzing the one or more installation logs to identify a plurality of installations from a plurality of servers; displaying representations of said plurality of servers on a two dimensional grid, wherein said plurality of servers are sorted along a first dimension according to a respective amount of installations on each server; displaying representations of said plurality of installations on said two dimensional grid, wherein said plurality of installations are sorted along a second dimension according to a respective amount of servers having each installation; visually grouping said plurality of installation within said two dimensional grid according to business groups and arranged within each group of the business groups based on compliance metrics; and displaying a plurality of cells corresponding to intersections of said plurality of servers and said plurality of installations. - View Dependent Claims (16, 17, 18, 19)
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Specification