发明名称 |
Fault localization in distributed systems using invariant relationships |
摘要 |
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. |
申请公布号 |
US9026855(B2) |
申请公布日期 |
2015.05.05 |
申请号 |
US201313950523 |
申请日期 |
2013.07.25 |
申请人 |
NEC Laboratories America, Inc. |
发明人 |
Sharma Abhishek;Chen Haifeng;Ding Min;Yoshihira Kenji;Jiang Guofei |
分类号 |
G06F11/00;G06F11/07;H04L12/24;H04L12/26 |
主分类号 |
G06F11/00 |
代理机构 |
|
代理人 |
Kolodka Joseph |
主权项 |
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, said determining comprises, based on observations up to a current time T, selecting an interval of length w, [T−w, T], such that an anomaly at any tε[T−w, T] can cause a broken invariant at T and using an ARX model setting w=arg max(n, m+k). |
地址 |
Princeton NJ US |