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1. WO2019222287 - SCALABLE AND REAL-TIME ANOMALY DETECTION

Publication Number WO/2019/222287
Publication Date 21.11.2019
International Application No. PCT/US2019/032311
International Filing Date 14.05.2019
IPC
G06F 9/4401 2018.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
4401Bootstrapping
G06F 11/36 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
36Preventing errors by testing or debugging of software
G06F 11/07 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
07Responding to the occurrence of a fault, e.g. fault tolerance
G06F 9/54 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
54Interprogram communication
CPC
G06F 11/0709
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
07Responding to the occurrence of a fault, e.g. fault tolerance
0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
0706the processing taking place on a specific hardware platform or in a specific software environment
0709in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
G06F 11/0757
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
07Responding to the occurrence of a fault, e.g. fault tolerance
0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
0751Error or fault detection not based on redundancy
0754by exceeding limits
0757by exceeding a time limit, i.e. time-out, e.g. watchdogs
G06F 11/076
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
07Responding to the occurrence of a fault, e.g. fault tolerance
0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
0751Error or fault detection not based on redundancy
0754by exceeding limits
076by exceeding a count or rate limit, e.g. word- or bit count limit
G06F 11/0766
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
07Responding to the occurrence of a fault, e.g. fault tolerance
0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
0766Error or fault reporting or storing
G06F 11/3616
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
11Error detection; Error correction; Monitoring
36Preventing errors by testing or debugging software
3604Software analysis for verifying properties of programs
3616using software metrics
G06F 9/4411
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
4401Bootstrapping
4411Configuring for operating with peripheral devices; Loading of device drivers
Applicants
  • NETFLIX, INC. [US]/[US]
Inventors
  • GONIGBERG, Arthur
  • COHEN, Michael Lloyd
  • JOSHI, Neeraj
  • RIOUX, Cody Mitchell
Agents
  • CAREY, John C.
  • JONES, Mitchel L.
  • MIRZA, Sarah
Priority Data
16/410,86713.05.2019US
62/671,07514.05.2018US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) SCALABLE AND REAL-TIME ANOMALY DETECTION
(FR) DÉTECTION D'ANOMALIES ÉVOLUTIVE ET EN TEMPS RÉEL
Abstract
(EN) Various embodiments of the disclosure disclosed herein provide techniques for detecting anomalies across one or more components within a distributed computing system, according to various embodiments of the present disclosure. An anomaly detection system retrieves event data associated with a real-time stream of events generated by one or more components within a distributed computing system. The anomaly detection system computes a failure metric based on the event data. The anomaly detection system determines that the failure metric exceeds a dynamically adjustable trigger condition. The anomaly detection system generates an alert associated with the failure metric.
(FR) Selon divers modes de réalisation, l'invention concerne des techniques de détection d'anomalies d'un ou plusieurs éléments d'un système informatique distribué. Un système de détection d'anomalies récupère des données d'événement associées à un flux d'événements en temps réel généré par un ou plusieurs éléments d'un système informatique distribué, calcule une mesure de défaillance sur la base des données d'événement, détermine que la mesure de défaillance dépasse une condition de déclenchement ajustable de manière dynamique, et génère une alerte associée à la mesure de défaillance.
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