公开(公告)号：US11140022B2

公开(公告)日：2021-10-05

申请号：US16111234

申请日：2018-08-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Dewei Bao ,  Donghong Peng ,  Yaodong Guan ,  Shihao Li ,  Zhiqiang Li

IPC: G06F15/173 ,  H04L12/24

Abstract: A network log time alignment method and an apparatus are provided. The method includes: obtaining log data stored in multiple network devices; parsing the log data to obtain features of each network device; determining associated features of the multiple network devices according to the features of each network device, where the associated features are features that are of the network devices and that have an association in space; and then, performing alignment on log time in multiple pieces of log data according to the associated features. Therefore, associated features of related devices of a network fault can be found, and log time are automatically aligned according to the associated features, thereby improving the efficiency and the accuracy of the fault location and sectionalization.

公开(公告)号：US11436196B2

公开(公告)日：2022-09-06

申请号：US17077638

申请日：2020-10-22

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jiyuan Shi ,  Liang Zhang ,  Shihao Li ,  Dewei Bao ,  Jian Li

IPC: G06F17/00 ,  G06F16/174 ,  G06F16/28 ,  G06F16/2458 ,  H04L41/0631 ,  H04L41/069

Abstract: An alarm log compression method, apparatus, system, and a storage medium are provided. The method includes: obtaining a historical alarm log set generated by a first network device; dividing the historical alarm log set into a plurality of historical alarm log subsets based on a generation time stamp of a historical alarm log in the historical alarm log set, where all historical alarm logs in each historical alarm log subset are consecutive in a time sequence; determining a correspondence between an alarm type in the historical alarm log set and the plurality of historical alarm log subsets; performing clustering processing on the alarm types in the historical alarm log set based on the correspondence, to generate at least one association rule; and compressing to-be-processed alarm logs based on the at least one association rule, to obtain an alarm log whose alarm type is a root cause alarm type.

公开(公告)号：US20190251093A1

公开(公告)日：2019-08-15

申请号：US16396193

申请日：2019-04-26

Applicant: Huawei Technologies Co., Ltd.

Inventor： Dewei Bao ,  Yuming Xie ,  Shihao Li ,  Jian Li ,  Kang Cheng

IPC: G06F16/25 ,  G06F16/23 ,  G06F16/28

CPC classification number: G06F16/254 ,  G06F11/34 ,  G06F16/00 ,  G06F16/21 ,  G06F16/2379 ,  G06F16/285

Abstract: A data processing device determines, based on a plurality of logs of a same log type, a log template of the log type (i.e. a parsing rule), and extracts, based on the log template, variables of the plurality of logs to generate a structured log so that the parsing rule does not need to be manually set, and manual maintenance on the parsing rule is not needed. A data processing method includes obtaining a log set; determining that N logs in the log set belong to a first type; determining based on the N logs, a log template corresponding to the first type, where the log template corresponding to the first type is used to indicate a variable location of the N logs; and extracting based on the variable location, variables from one or more logs in the N logs to generate a structured log.

公开(公告)号：US11750438B2

公开(公告)日：2023-09-05

申请号：US17480477

申请日：2021-09-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Dewei Bao ,  Donghong Peng ,  Yaodong Guan ,  Shihao Li ,  Zhiqiang Li

IPC: G06F15/173 ,  H04L41/0631 ,  H04L41/0677 ,  H04L41/069 ,  H04L41/0853

CPC classification number: H04L41/064 ,  H04L41/065 ,  H04L41/069 ,  H04L41/0677 ,  H04L41/0856

Abstract: A network log time alignment method and an apparatus are provided. The method includes: obtaining log data stored in multiple network devices; parsing the log data to obtain features of each network device; determining associated features of the multiple network devices according to the features of each network device, where the associated features are features that are of the network devices and that have an association in space; and then, performing alignment on log time in multiple pieces of log data according to the associated features. Therefore, associated features of related devices of a network fault can be found, and log time are automatically aligned according to the associated features, thereby improving the efficiency and the accuracy of the fault location and sectionalization.