Monitoring Big Data Streams Using Data Stream Management Systems: Industrial Needs, Challenges, and Improvements

Real-time monitoring systems are important for industry since they allow for avoiding unplanned system stops and keeping system availability high. The technical requirements for such systems include being both scalable and online, as the amount of generated data is increasing with time. Therefore, m...

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Vydané v:Advances in Operations Research Ročník 2023; s. 1 - 12
Hlavný autor: Alzghoul, Ahmad
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Hindawi 27.06.2023
John Wiley & Sons, Inc
Predmet:
Big Data
Collaboration
Construction equipment
Data analysis
Data search
Data transmission
Fault detection
Internet of Things
Literature reviews
Management systems
Monitoring
Monitoring systems
Operations research
Query formulation
Real time
Research methodology
Germany
ISSN:1687-9147, 1687-9155
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Abstract Real-time monitoring systems are important for industry since they allow for avoiding unplanned system stops and keeping system availability high. The technical requirements for such systems include being both scalable and online, as the amount of generated data is increasing with time. Therefore, monitoring systems must integrate tools that can manage and analyze the data streams. The data stream management system is a stream processing tool that has the ability to manage and support operations on data streams in real-time. Several researchers have proposed and tested real-time monitoring systems which have the ability to search big data streams. In this paper, the research works that discuss the analysis of online data streams for fault detection in industry are reviewed. Based on the literature analysis, the industrial needs and challenges of monitoring big data streams are presented. Furthermore, feasible suggestions for improving the real-time monitoring system are proposed.
AbstractList Real-time monitoring systems are important for industry since they allow for avoiding unplanned system stops and keeping system availability high. The technical requirements for such systems include being both scalable and online, as the amount of generated data is increasing with time. Therefore, monitoring systems must integrate tools that can manage and analyze the data streams. The data stream management system is a stream processing tool that has the ability to manage and support operations on data streams in real-time. Several researchers have proposed and tested real-time monitoring systems which have the ability to search big data streams. In this paper, the research works that discuss the analysis of online data streams for fault detection in industry are reviewed. Based on the literature analysis, the industrial needs and challenges of monitoring big data streams are presented. Furthermore, feasible suggestions for improving the real-time monitoring system are proposed.
Audience Academic
Author Alzghoul, Ahmad
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Cites_doi 10.1155/2015/282178
10.1016/j.cie.2011.12.023
10.1007/978-1-4471-0347-9
10.1007/s10844-016-0427-2
10.22055/jacm.2020.35354.2639
10.5267/j.ijdns.2019.12.003
10.1109/CCA.2009.5281003
10.1007/s00354-006-0002-4
10.3182/20130619-3-RU-3018.00403
10.1007/978-3-642-12767-0
10.1088/0957-0233/17/7/020
10.1016/j.ins.2013.06.045
10.1016/j.compind.2014.06.003
10.1142/s021853930800309x
10.1109/ICECDS.2017.8389935
10.1016/B978-0-323-91614-1.00004-6
10.1016/S0098-1354(02)00162-X
10.14778/3402707.3402752
10.1007/s12530-014-9107-z
10.1109/IV.2013.19
10.1007/11906070_3
10.1142/s0218539320500023
10.1016/S0959-1524(99)00057-8
10.1145/2528412
10.1016/j.sysarc.2020.101876
10.36001/ijphm.2018.v9i1.2693
10.1016/j.dajour.2023.100178
10.1145/776985.776986
10.1016/j.cie.2010.10.008
10.1016/j.jvlc.2014.08.002
10.1007/978-3-642-19689-8_42
10.1016/S0959-1524(00)00058-5
ContentType Journal Article
Copyright Copyright © 2023 Ahmad Alzghoul.
COPYRIGHT 2023 John Wiley & Sons, Inc.
Copyright © 2023 Ahmad Alzghoul. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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References C. Karacal (20)
A. Norvilas (54) 2000; 10
F. Serdio (43) 2013; 46
P. Dudhe (15)
H. Baziyad (14) 2022
I. Alsyouf (2)
R. Isermann (12) 2011
D. G. Arseniev (8)
51
10
11
J. D. Andrews (4) 2002
16
A. Alzghoul (50) 2013
17
18
C. Xu (25)
19
R. Youree (26)
1
M. Cheshmberah (40)
3
5
S. C. Karacal (22)
6
7
L. H. Chiang (9) 2001
M. Ivanova (29)
M. Ram (39)
23
S. Kimani (55)
27
M. H. Staffan Flodin (48) 2012
28
C. Xu (46)
N. Davari (42)
S. C. Karacal (21)
T. Risch (30) 2003
D. Leung (53) 2002; 12
31
F. Chih-Min (52)
K. Cukier (13) 2010
B. Matthews (24)
33
X. Gu (35)
34
F. Serdio (44) 2014; 259
36
37
G. Hébrail (49) 2008; 19
H. Kargupta (32)
G. Fahl (47) 1993
J. Quevedo (45)
41
E. Källström (38) 2020; 9
References_xml – ident: 1
  doi: 10.1155/2015/282178
– ident: 17
  doi: 10.1016/j.cie.2011.12.023
– volume-title: Reliability and Risk Assessment
  year: 2002
  ident: 4
– volume-title: Functional Data Integration in a Distributed Mediator System
  year: 2003
  ident: 30
– volume-title: Fault Detection and Diagnosis in Industrial Systems
  year: 2001
  ident: 9
  doi: 10.1007/978-1-4471-0347-9
– ident: 36
  doi: 10.1007/s10844-016-0427-2
– volume-title: Mining Data Streams to Increase Industrial Product Availability
  year: 2013
  ident: 50
– volume: 19
  start-page: 89
  year: 2008
  ident: 49
  article-title: Data stream management and mining
  publication-title: Mining Massive Data Sets for Security
– ident: 52
  article-title: A Bayesian framework to integrate knowledge-based and data-driven inference tools for reliable yield diagnoses
– start-page: 1388
  ident: 35
  article-title: Online failure forecast for fault-tolerant data stream processing
– ident: 3
  doi: 10.22055/jacm.2020.35354.2639
– ident: 5
  doi: 10.5267/j.ijdns.2019.12.003
– ident: 8
  article-title: Intelligent fault detection and diagnostics system on rule-based neural network approach
  doi: 10.1109/CCA.2009.5281003
– year: 2010
  ident: 13
  article-title: Data, data everywhere: a special report on managing information
– ident: 23
  doi: 10.1007/s00354-006-0002-4
– volume: 46
  start-page: 1530
  issue: 9
  year: 2013
  ident: 43
  article-title: Data-driven residual-based fault detection for condition monitoring in rolling mills
  publication-title: IFAC Proceedings Volumes
  doi: 10.3182/20130619-3-RU-3018.00403
– ident: 2
  article-title: Soft computing applications in wind power systems: a review and analysis
– start-page: 1429
  ident: 20
  article-title: Sensor stream mining for tool condition monitoring
– ident: 22
  article-title: Mining machine data streams using statistical process monitoring techniques
– volume-title: Fault-diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems
  year: 2011
  ident: 12
  doi: 10.1007/978-3-642-12767-0
– ident: 19
  doi: 10.1088/0957-0233/17/7/020
– volume: 259
  start-page: 304
  year: 2014
  ident: 44
  article-title: Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills
  publication-title: Information Sciences
  doi: 10.1016/j.ins.2013.06.045
– ident: 33
  doi: 10.1016/j.compind.2014.06.003
– ident: 29
  article-title: Customizable parallel execution of scientific stream queries
– ident: 25
  article-title: Model-based validation of streaming data
– ident: 6
  doi: 10.1142/s021853930800309x
– ident: 24
  article-title: Comparative analysis of data-driven anomaly detection methods
– ident: 15
  article-title: Internet of Things (IOT): An Overview and its Applications
  doi: 10.1109/ICECDS.2017.8389935
– year: 2012
  ident: 48
  article-title: Amos ii release 14 user's manual. uppsala database laboratory
– start-page: 61
  volume-title: The Digital Supply Chain
  year: 2022
  ident: 14
  article-title: The Internet of Things—an emerging paradigm to support the digitalization of future supply chains
  doi: 10.1016/B978-0-323-91614-1.00004-6
– start-page: 300
  ident: 32
  article-title: Vedas: a mobile and distributed data stream mining system for real-time vehicle monitoring
– ident: 40
  article-title: A GPU algorithm for detecting contextual outliers in multiple concurrent data streams
– ident: 10
  doi: 10.1016/S0098-1354(02)00162-X
– ident: 31
  doi: 10.14778/3402707.3402752
– ident: 34
  doi: 10.1007/s12530-014-9107-z
– start-page: 394
  ident: 45
  article-title: Temporal/spatial model-based fault diagnosis vs. hidden Markov models change detection method: application to the Barcelona water network
– ident: 55
  article-title: Visualization of multidimensional sensor data in industrial engineering
  doi: 10.1109/IV.2013.19
– ident: 51
  doi: 10.1007/11906070_3
– ident: 7
  doi: 10.1142/s0218539320500023
– volume: 10
  start-page: 341
  issue: 4
  year: 2000
  ident: 54
  article-title: Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring
  publication-title: Journal of Process Control
  doi: 10.1016/S0959-1524(99)00057-8
– ident: 28
  doi: 10.1145/2528412
– ident: 37
  doi: 10.1016/j.sysarc.2020.101876
– volume: 9
  year: 2020
  ident: 38
  article-title: On-board clutch slippage detection and diagnosis in heavy duty machine
  publication-title: International Journal of Prognostics and Health Management
  doi: 10.36001/ijphm.2018.v9i1.2693
– ident: 26
  article-title: A multivariate statistical analysis technique for on-line fault prediction
– ident: 41
  doi: 10.1016/j.dajour.2023.100178
– ident: 16
  doi: 10.1145/776985.776986
– ident: 11
  doi: 10.1016/j.cie.2010.10.008
– ident: 27
  doi: 10.1016/j.jvlc.2014.08.002
– volume-title: AMOS: an Architecture for active mediators
  year: 1993
  ident: 47
– ident: 39
  article-title: Visualisation of numerical query results on industrial data streams
– ident: 18
  doi: 10.1007/978-3-642-19689-8_42
– ident: 46
  article-title: Model-based validation of streaming data:(industry article)
– ident: 21
  article-title: Data stream mining for machine reliability
– ident: 42
  article-title: Fault forecasting using data-driven modeling: a case study for Metro do Porto data set machine learning and principles and practice of knowledge discovery in databases
– volume: 12
  start-page: 15
  issue: 1
  year: 2002
  ident: 53
  article-title: An integration mechanism for multivariate knowledge-based fault diagnosis
  publication-title: Journal of Process Control
  doi: 10.1016/S0959-1524(00)00058-5
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SubjectTerms Big Data
Collaboration
Construction equipment
Data analysis
Data search
Data transmission
Fault detection
Internet of Things
Literature reviews
Management systems
Monitoring
Monitoring systems
Operations research
Query formulation
Real time
Research methodology
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