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公开(公告)号：US10419269B2
公开(公告)日：2019-09-17
申请号：US15438477
申请日：2017-02-21
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Pavel Danichev , Ron Maurer , Nurit Peres , Fernando Vizer
IPC: G06F15/173 , H04L12/24 , H04L12/26 , H04L29/06
Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.
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公开(公告)号：US20180241654A1
公开(公告)日：2018-08-23
申请号：US15438477
申请日：2017-02-21
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Pavel Danichev , Ron Maurer , Nurit Peres , Fernando Vizer
CPC classification number: H04L41/064 , H04L29/06891 , H04L41/069 , H04L43/024 , H04L43/04 , H04L43/067 , H04L63/145
Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.
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公开(公告)号：US10152302B2
公开(公告)日：2018-12-11
申请号：US15404599
申请日：2017-01-12
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Gabriel Dayan , Eli Revach , Pavel Danichev , Avihay Mor
Abstract: Examples relate to calculating normalize metrics. The examples disclosed herein calculate respective normalized first metric values for each of a plurality of first metric values that are on a time scale and respective normalized second metric values for each of the plurality of raw second metric values that are on the time scale, where the plurality of first metric values are associated with a first metric, and the plurality of second metric values are associated with a second metric. An extremum of the normalized first metric value and the normalized second metric value at each time of the time scale is averaged to calculate a plurality of extremum baseline values. Examples herein calculate a plurality of sleeve values of the plurality of extremum baseline values based on a standard deviation of the plurality of extremum baseline values.
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公开(公告)号：US20170315842A1
公开(公告)日：2017-11-02
申请号：US15523647
申请日：2014-10-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Marina Lyan , Pavel Danichev , Elad Kadosh
IPC: G06F9/48
CPC classification number: G06F9/4881
Abstract: In one implementation, a system for resource consuming tasks scheduling includes a metrics engine to identify a plurality of metrics based on a task to be scheduled, a utilization engine to generate a compiled representation of combined resource values over a period of time, wherein the combined resource values are based on a combination of the plurality of metrics;, an identification engine to identify common lows of resource utilization for the plurality of metrics based on the generated representation, and a schedule engine to schedule the task for a time that corresponds to the identified common lows of resource utilization.
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