公开(公告)号：US20180107528A1

公开(公告)日：2018-04-19

申请号：US15569206

申请日：2015-04-30

Applicant: ENTIT Software LLC

Inventor： Fernando Vizer ,  Noam Fraenkel ,  Yair Horovitz

IPC: G06F9/54 ,  G06F11/07 ,  G06F11/34

Abstract: According to an example, aggregation based event identification may include aggregating each of a plurality of source events by an event type of event types that represent dusters of the source events and/or a host of a source event of the source events to generate a reduced number of the source events. Aggregation based event identification may further include analyzing a characteristic for each of the reduced number of the source events, and assigning, based on the analysis of the characteristic for each of the reduced number of the source events, a characteristic weight to each of the reduced number of the source events. Further, aggregation based event identification may include aggregating the characteristic weights for each of the reduced number of the source events to determine an aggregated event issue weight for each of the reduced number of the source events.

公开(公告)号：US20190018723A1

公开(公告)日：2019-01-17

申请号：US15647049

申请日：2017-07-11

Applicant: EntIT Software LLC

Inventor： Ron Maurer ,  Marina Lyan ,  Nurit Peres ,  Fernando Vizer ,  Pavel Danichev ,  Shahar Tel

IPC: G06F11/07 ,  G06F11/34 ,  G06F17/18 ,  G06F17/40 ,  G06K9/00 ,  G06K9/62

Abstract: In some examples, host IDs associated with the respective source component and a result of a partial calculation of an aggregate metric score may be received from each of a plurality of source components associated with a host of an information technology (IT) system. The partial calculation based on individual metric scores may be associated with the respective source component. The aggregate metric score may be calculated using the partial calculations and the host IDs, the aggregate metric score associated with metric measurements of the source components.

公开(公告)号：US10592308B2

公开(公告)日：2020-03-17

申请号：US15569206

申请日：2015-04-30

Applicant: ENTIT Software LLC

Inventor： Fernando Vizer ,  Noam Fraenkel ,  Yair Horovitz

IPC: G06F9/54 ,  G06F16/28 ,  G06F11/34 ,  G06F17/40 ,  G06F11/30 ,  G06F11/07 ,  G06F11/32

Abstract: According to an example, aggregation based event identification may include aggregating each of a plurality of source events by an event type of event types that represent dusters of the source events and/or a host of a source event of the source events to generate a reduced number of the source events. Aggregation based event identification may further include analyzing a characteristic for each of the reduced number of the source events, and assigning, based on the analysis of the characteristic for each of the reduced number of the source events, a characteristic weight to each of the reduced number of the source events. Further, aggregation based event identification may include aggregating the characteristic weights for each of the reduced number of the source events to determine an aggregated event issue weight for each of the reduced number of the source events.

公开(公告)号：US20180357261A1

公开(公告)日：2018-12-13

申请号：US15778459

申请日：2015-11-30

Applicant: ENTIT SOFTWARE LLC

Inventor： Pavel Danichev ,  Lioz Medina ,  Fernando Vizer

IPC: G06F17/30

CPC classification number: G06F17/30303 ,  G06F11/0709 ,  G06F11/0751 ,  G06F17/30342 ,  G06F17/30374 ,  G06F17/40

Abstract: In some examples, time-series datasets received from a system may be temporally aligned. In some examples, one of the time-series datasets may be deduplicated. In some examples, whether an anomaly has occurred in the system may be determined based on a non-deduplicated time-series dataset of the time-series datasets.