Self-learning integrity management system and related methods
First Claim
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1. An integrity management system comprising, in combination:
- a topology mapping module for mapping a topology of nodes;
a data collector;
an event prediction module that provides at least one heuristic describing a state of the system prior to an event; and
a resolutions module for providing a notice of a potential occurrence of an event prior to the actual occurrence of the event; and
wherein data is collected from the topology of nodes by the data collector and compared to the at least one heuristic to provide a probability that the event will occur; and
wherein if the probability crosses a threshold value, the resolutions module provides the notice.
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Abstract
An integrity management system predicts abnormalities in complex systems before they occur based upon the prior history of abnormalities within the complex system. A topology of the nodes of a complex system is generated and data is collected from the system based on predetermined metrics. In combination with dynamic thresholding, fingerprints of the relevant nodes within a complex system at various time intervals prior to the occurrence of the abnormality are captured and weighted. The fingerprints can then be applied to real-time data provide alerts of potential abnormality prior to their actual occurrence.
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Citations
34 Claims
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1. An integrity management system comprising, in combination:
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a topology mapping module for mapping a topology of nodes; a data collector; an event prediction module that provides at least one heuristic describing a state of the system prior to an event; and a resolutions module for providing a notice of a potential occurrence of an event prior to the actual occurrence of the event; and wherein data is collected from the topology of nodes by the data collector and compared to the at least one heuristic to provide a probability that the event will occur; and wherein if the probability crosses a threshold value, the resolutions module provides the notice. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A integrity management system comprising, in combination:
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a topology mapping module for mapping a topology of nodes; a data collector; an event prediction module that provides at least one heuristic describing a state of the system prior to an event; and a resolutions module for providing a notice of a potential occurrence of an event prior to the actual occurrence of the event; and wherein data is collected from the topology of nodes by the data collector and compared to the at least one heuristic to provide a probability that the event will occur; and wherein if the probability crosses a threshold value, the resolutions module provides the notice. - View Dependent Claims (13, 14, 15, 16)
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17. A method for detecting abnormalities in nodes by providing an integrity management system that performs steps comprising, in combination:
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discovering a plurality of nodes; constructing a topology of node interconnectedness; collecting data from the topology; using historical data to form at least one heuristic describing a state of the system prior to an event; applying the at least one heuristic to the data, the application of the at least one heuristic outputting a probability that the event will occur; and at least one of generating an alert prior to the actual occurrence of the event and reducing the probability that the event will occur. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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26. A machine-readable medium having program instructions stored thereon executable by a processing unit for performing the steps of:
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discovering a plurality of nodes; constructing a topology of node interconnectedness; collecting data from the topology; using historical data to form at least one heuristic describing a state of the system prior to an event; applying the at least one heuristic to the data, the application of the at least one heuristic outputting a probability that the event will occur; and at least one of generating an alert prior to the actual occurrence of the event and reducing the probability that the event will occur. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34)
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Specification