Fault Localization in Distributed Systems Using Invariant Relationships
First Claim
1. A computer implemented method for temporal ranking in invariant networks comprising the steps of:
- considering an invariant network and a set of broken invariants in the invariant network;
assuming, for each time point inside a window W, that each metric with broken invariants is affected by a fault at that time point;
computing an expected pattern for each invariant of a metric with assumed fault, said pattern indicative of time points at which an invariant will be broken given that its associated metric was affected by a fault at time t;
comparing the expected pattern with the pattern observed over the time window W; and
determining a temporal score based on a match from the prior comparing.
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Abstract
A computer implemented method for temporal ranking in invariant networks includes considering an invariant network and a set of broken invariants in the invariant network, assuming, for each time point inside a window W, that each metric with broken invariants is affected by a fault at that time point, computing an expected pattern for each invariant of a metric with assumed fault, said pattern indicative of time points at which an invariant will be broken given that its associated metric was affected by a fault at time t, comparing the expected pattern with the pattern observed over the time window W; and determining a temporal score based on a match from the prior comparing
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Citations
9 Claims
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1. A computer implemented method for temporal ranking in invariant networks comprising the steps of:
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considering an invariant network and a set of broken invariants in the invariant network; assuming, for each time point inside a window W, that each metric with broken invariants is affected by a fault at that time point; computing an expected pattern for each invariant of a metric with assumed fault, said pattern indicative of time points at which an invariant will be broken given that its associated metric was affected by a fault at time t; comparing the expected pattern with the pattern observed over the time window W; and determining a temporal score based on a match from the prior comparing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification