IN2013MU02794A - - Google Patents

Info

Publication number
IN2013MU02794A
IN2013MU02794A IN2794MU2013A IN2013MU02794A IN 2013MU02794 A IN2013MU02794 A IN 2013MU02794A IN 2794MU2013 A IN2794MU2013 A IN 2794MU2013A IN 2013MU02794 A IN2013MU02794 A IN 2013MU02794A
Authority
IN
India
Prior art keywords
syslog
messages
syslog messages
hardware components
message
Prior art date
Application number
Inventor
Rohit Kumar
Senthilkumar Vijayakumar
Syed Azar Ahamed
Original Assignee
Tata Consultancy Services Ltd
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 Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Priority to IN2794MU2013 priority Critical patent/IN2013MU02794A/en
Priority to US14/144,823 priority patent/US20150067410A1/en
Publication of IN2013MU02794A publication Critical patent/IN2013MU02794A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/004—Error avoidance

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)
  • Test And Diagnosis Of Digital Computers (AREA)

Abstract

The present subject matter discloses a method for predicting failure of hardware components. The method comprises obtaining a syslog file stored in a Hadoop Distributed File System (HDFS), where the syslog file includes at least one or more syslog messages. Further, the method comprises categorizing each of the one or more syslog messages into one or more groups based on a hardware component generating the syslog message. Further, a current dataset comprising one or more records based on the categorization is generated, where each of the one or more records include a syslog message from amongst the one or more syslog messages. The method further comprises analysing the current dataset for identifying at least one error pattern of syslog messages, based on a plurality of error patterns of reference syslog messages, for predicting failure of the hardware components.
IN2794MU2013 2013-08-27 2013-08-27 IN2013MU02794A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
IN2794MU2013 IN2013MU02794A (en) 2013-08-27 2013-08-27
US14/144,823 US20150067410A1 (en) 2013-08-27 2013-12-31 Hardware failure prediction system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN2794MU2013 IN2013MU02794A (en) 2013-08-27 2013-08-27

Publications (1)

Publication Number Publication Date
IN2013MU02794A true IN2013MU02794A (en) 2015-07-03

Family

ID=52584998

Family Applications (1)

Application Number Title Priority Date Filing Date
IN2794MU2013 IN2013MU02794A (en) 2013-08-27 2013-08-27

Country Status (2)

Country Link
US (1) US20150067410A1 (en)
IN (1) IN2013MU02794A (en)

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CN106406987B (en) * 2015-07-29 2020-01-03 阿里巴巴集团控股有限公司 Task execution method and device in cluster
DE102016008987B4 (en) * 2015-07-31 2021-09-16 Fanuc Corporation Machine learning method and machine learning apparatus for learning failure conditions, and failure prediction apparatus and failure prediction system including the machine learning apparatus
EP3128466A1 (en) * 2015-08-05 2017-02-08 Wipro Limited System and method for predicting an event in an information technology infrastructure
US20170139759A1 (en) * 2015-11-13 2017-05-18 Ca, Inc. Pattern analytics for real-time detection of known significant pattern signatures
US10810103B2 (en) * 2016-12-14 2020-10-20 Vmware, Inc. Method and system for identifying event-message transactions
US10469307B2 (en) 2017-09-26 2019-11-05 Cisco Technology, Inc. Predicting computer network equipment failure
US10831382B2 (en) 2017-11-29 2020-11-10 International Business Machines Corporation Prevent disk hardware failure for cloud applications
US11501155B2 (en) * 2018-04-30 2022-11-15 EMC IP Holding Company LLC Learning machine behavior related to install base information and determining event sequences based thereon
WO2020000404A1 (en) 2018-06-29 2020-01-02 Microsoft Technology Licensing, Llc. Multi-factor cloud service storage device error prediction
US11256696B2 (en) * 2018-10-15 2022-02-22 Ocient Holdings LLC Data set compression within a database system
CN109634790B (en) * 2018-11-22 2020-07-10 华中科技大学 Disk fault prediction method based on cyclic neural network
CN109961171A (en) * 2018-12-19 2019-07-02 兰州大学 A kind of capacitor faults prediction technique based on machine learning and big data analysis
CN110389883B (en) * 2019-06-27 2023-08-01 西安联乘智能科技有限公司 Module log real-time monitoring system based on multithreading
CN110321371B (en) * 2019-07-01 2024-04-26 腾讯科技（深圳）有限公司 Log data anomaly detection method, device, terminal and medium
CN111158981A (en) * 2019-12-26 2020-05-15 西安邮电大学 Real-time monitoring method and system for reliable running state of CDN hard disk
US11915160B2 (en) * 2020-05-19 2024-02-27 EMC IP Holding Company LLC System and method for probabilistically forecasting health of hardware in a large-scale system
CN112346932A (en) * 2020-11-05 2021-02-09 中国建设银行股份有限公司 Method and device for positioning hidden bad disk, electronic equipment and computer storage medium
CN112448849B (en) * 2020-11-13 2023-08-01 中盈优创资讯科技有限公司 Method and device for intelligently collecting faults of equipment
US11409588B1 (en) 2021-03-09 2022-08-09 Kyndryl, Inc. Predicting hardware failures
CN115981911A (en) * 2021-10-12 2023-04-18 中兴智能科技南京有限公司 Memory failure prediction method, electronic device and computer-readable storage medium
US11868208B1 (en) * 2022-05-24 2024-01-09 Amdocs Development Limited System, method, and computer program for defect resolution

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US9082127B2 (en) * 2010-03-31 2015-07-14 Cloudera, Inc. Collecting and aggregating datasets for analysis
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US9396448B2 (en) * 2013-09-10 2016-07-19 Nice-Systems Ltd. Distributed and open schema interactions management system and method

Also Published As

Publication number Publication date
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