MX2020001595A - Motor de gestion para procesamiento y ejecucion de modelo de plataforma multiple. - Google Patents

Motor de gestion para procesamiento y ejecucion de modelo de plataforma multiple.

Info

Publication number
MX2020001595A
MX2020001595A MX2020001595A MX2020001595A MX2020001595A MX 2020001595 A MX2020001595 A MX 2020001595A MX 2020001595 A MX2020001595 A MX 2020001595A MX 2020001595 A MX2020001595 A MX 2020001595A MX 2020001595 A MX2020001595 A MX 2020001595A
Authority
MX
Mexico
Prior art keywords
execution
model
management engine
execution management
model processing
Prior art date
Application number
MX2020001595A
Other languages
English (en)
Inventor
Mark V Slusar
Robert Andrew Nendorf
Nilesh Malpekar
Joseph Alan Kleinhenz
Robert Andrew Kreek
Patrick O´Reilly
Original Assignee
Allstate Insurance Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Allstate Insurance Co filed Critical Allstate Insurance Co
Publication of MX2020001595A publication Critical patent/MX2020001595A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • Stored Programmes (AREA)
  • Debugging And Monitoring (AREA)

Abstract

Se describen sistemas y métodos para gestionar el procesamiento y la ejecución de modelos que pueden haberse desarrollado en una variedad de plataformas. Se puede determinar un módulo de ejecución de modelo múltiple que especifique una secuencia de modelos a ejecutar. Un motor de gestión de procesamiento y ejecución de modelos de plataforma múltiples puede ejecutar el módulo de ejecución de modelo múltiple internamente, o externalizar la ejecución a un motor de orquestación de ejecución de modelos distribuido. Un motor de monitoreo y análisis de datos del modelo puede monitorear la ejecución interna y/o distribuida del módulo de ejecución de modelo múltiple, y puede transmitir notificaciones adicionales a varios sistemas informáticos.
MX2020001595A 2017-08-10 2017-11-27 Motor de gestion para procesamiento y ejecucion de modelo de plataforma multiple. MX2020001595A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/673,872 US10878144B2 (en) 2017-08-10 2017-08-10 Multi-platform model processing and execution management engine
PCT/US2017/063277 WO2019032133A1 (en) 2017-08-10 2017-11-27 ENGINE FOR MANAGING THE PROCESSING AND EXECUTION OF MULTIPLATFORM MODELS

Publications (1)

Publication Number Publication Date
MX2020001595A true MX2020001595A (es) 2020-07-28

Family

ID=65272424

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2020001595A MX2020001595A (es) 2017-08-10 2017-11-27 Motor de gestion para procesamiento y ejecucion de modelo de plataforma multiple.

Country Status (5)

Country Link
US (2) US10878144B2 (es)
EP (1) EP3665623A4 (es)
CA (1) CA3072450A1 (es)
MX (1) MX2020001595A (es)
WO (1) WO2019032133A1 (es)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020033804A1 (en) * 2018-08-09 2020-02-13 Walmart Apollo, Llc System and method for electronic text classification
US11423326B2 (en) * 2018-09-14 2022-08-23 Microsoft Technology Licensing, Llc Using machine-learning methods to facilitate experimental evaluation of modifications to a computational environment within a distributed system
EP4113300A4 (en) * 2020-03-10 2023-04-05 Guangdong Oppo Mobile Telecommunications Corp., Ltd. MODEL COORDINATION METHOD AND DEVICE
CN112464454B (zh) * 2020-11-19 2024-04-05 广东电网有限责任公司电力调度控制中心 一种基于预计算优化的分布式执行优化方法及系统

Family Cites Families (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6658395B1 (en) * 1998-05-01 2003-12-02 Biowulf Technologies, L.L.C. Enhancing knowledge discovery from multiple data sets using multiple support vector machines
US6192360B1 (en) 1998-06-23 2001-02-20 Microsoft Corporation Methods and apparatus for classifying text and for building a text classifier
US6369811B1 (en) 1998-09-09 2002-04-09 Ricoh Company Limited Automatic adaptive document help for paper documents
US6925432B2 (en) 2000-10-11 2005-08-02 Lucent Technologies Inc. Method and apparatus using discriminative training in natural language call routing and document retrieval
US7295977B2 (en) 2001-08-27 2007-11-13 Nec Laboratories America, Inc. Extracting classifying data in music from an audio bitstream
US7185317B2 (en) 2002-02-14 2007-02-27 Hubbard & Wells Logical data modeling and integrated application framework
US20060149693A1 (en) 2005-01-04 2006-07-06 Isao Otsuka Enhanced classification using training data refinement and classifier updating
US8589140B1 (en) * 2005-06-10 2013-11-19 Wapp Tech Corp. System and method for emulating and profiling a frame-based application playing on a mobile device
US20070083365A1 (en) 2005-10-06 2007-04-12 Dts, Inc. Neural network classifier for separating audio sources from a monophonic audio signal
US8019763B2 (en) 2006-02-27 2011-09-13 Microsoft Corporation Propagating relevance from labeled documents to unlabeled documents
US7792353B2 (en) 2006-10-31 2010-09-07 Hewlett-Packard Development Company, L.P. Retraining a machine-learning classifier using re-labeled training samples
US9235442B2 (en) * 2010-10-05 2016-01-12 Accenture Global Services Limited System and method for cloud enterprise services
US20120130771A1 (en) 2010-11-18 2012-05-24 Kannan Pallipuram V Chat Categorization and Agent Performance Modeling
US10678602B2 (en) * 2011-02-09 2020-06-09 Cisco Technology, Inc. Apparatus, systems and methods for dynamic adaptive metrics based application deployment on distributed infrastructures
ES2755780T3 (es) * 2011-09-16 2020-04-23 Veracode Inc Análisis estático y de comportamiento automatizado mediante la utilización de un espacio aislado instrumentado y clasificación de aprendizaje automático para seguridad móvil
US20130097103A1 (en) 2011-10-14 2013-04-18 International Business Machines Corporation Techniques for Generating Balanced and Class-Independent Training Data From Unlabeled Data Set
US8954358B1 (en) 2011-11-03 2015-02-10 Google Inc. Cluster-based video classification
US10089582B2 (en) * 2013-01-02 2018-10-02 Qualcomm Incorporated Using normalized confidence values for classifying mobile device behaviors
US9439081B1 (en) * 2013-02-04 2016-09-06 Further LLC Systems and methods for network performance forecasting
CA2899314C (en) 2013-02-14 2018-11-27 24/7 Customer, Inc. Categorization of user interactions into predefined hierarchical categories
US9491187B2 (en) * 2013-02-15 2016-11-08 Qualcomm Incorporated APIs for obtaining device-specific behavior classifier models from the cloud
US9652362B2 (en) * 2013-12-06 2017-05-16 Qualcomm Incorporated Methods and systems of using application-specific and application-type-specific models for the efficient classification of mobile device behaviors
US9563407B2 (en) * 2014-02-03 2017-02-07 Richard Salter Computer implemented modeling system and method
CN105373800A (zh) 2014-08-28 2016-03-02 百度在线网络技术（北京）有限公司 分类方法及装置
US20160132787A1 (en) 2014-11-11 2016-05-12 Massachusetts Institute Of Technology Distributed, multi-model, self-learning platform for machine learning
KR102357351B1 (ko) * 2015-01-07 2022-01-28 삼성전자주식회사 복수의 배터리 셀들을 포함하는 배터리 팩의 상태를 추정하는 장치 및 방법
CA2979202C (en) * 2015-03-11 2019-08-27 Siemens Industry, Inc. Cascaded identification in building automation
US10229357B2 (en) * 2015-09-11 2019-03-12 Facebook, Inc. High-capacity machine learning system
US20170185898A1 (en) * 2015-12-26 2017-06-29 Arnab Paul Technologies for distributed machine learning
US11170293B2 (en) 2015-12-30 2021-11-09 Microsoft Technology Licensing, Llc Multi-model controller
RU2628431C1 (ru) 2016-04-12 2017-08-16 Общество с ограниченной ответственностью "Аби Продакшн" Подбор параметров текстового классификатора на основе семантических признаков
JP6833999B2 (ja) 2016-11-23 2021-02-24 プライマル フュージョン インコーポレイテッド 機械学習分類器とともに知識表現を使用するためのシステム及び方法
CN106709453B (zh) 2016-12-24 2020-04-17 北京工业大学 一种基于深度学习的体育视频关键姿态提取方法
US20190140994A1 (en) 2017-11-03 2019-05-09 Notion Ai, Inc. Systems and method classifying online communication nodes based on electronic communication data using machine learning
US10303978B1 (en) 2018-03-26 2019-05-28 Clinc, Inc. Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
GB201805293D0 (en) 2018-03-29 2018-05-16 Benevolentai Tech Limited Attention filtering for multiple instance learning
US11200581B2 (en) 2018-05-10 2021-12-14 Hubspot, Inc. Multi-client service system platform

Also Published As

Publication number Publication date
US20210012047A1 (en) 2021-01-14
EP3665623A4 (en) 2021-04-28
WO2019032133A1 (en) 2019-02-14
US10878144B2 (en) 2020-12-29
CA3072450A1 (en) 2019-02-14
EP3665623A1 (en) 2020-06-17
US20190050505A1 (en) 2019-02-14

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