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Intelligent Ubiquitous Mobile Edge Network Management.

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Title: Intelligent Ubiquitous Mobile Edge Network Management.
Authors: Murturi, Ilir1 (AUTHOR) ilir.murturi@uni-pr.edu, Dehury, Chinmaya Kumar2 (AUTHOR) dehury@iiserbpr.ac.in, Monteiro, Edmundo3 (AUTHOR) edmundo@dei.uc.pt, Donta, Praveen Kumar4 (AUTHOR) praveen@dsv.su.se
Source: International Journal of Network Management. Jul2026, Vol. 36 Issue 4, p1-6. 6p.
Subjects: Intelligent networks, Ubiquitous computing, Acquisition of data, Communication infrastructure, Distributed algorithms, Computer network security
Abstract: This special issue explores emerging trends and technologies in ubiquitous network intelligence for next‐generation mobile edge network management and aims to provide valuable insights into the future of intelligent network management in an increasingly interconnected world. We received 48 original research contributions from different geographies, focusing on key challenges such as efficient data gathering from IoT and sensor nodes, distributed learning algorithms for network management, advanced Kubernetes orchestrators for inference, and security in 5G/6G networks. After a rigorous review process, involving three to seven experts per paper and oversight from guest editors, we selected 13 high‐quality research papers, representing a 27% acceptance rate. These papers collectively address the challenges and opportunities in realizing ubiquitous network intelligence from two crucial perspectives: AI for networking and networking for AI. Further, we summarize several open challenges that need to be addressed in the near future related to intelligent ubiquitous mobile edge network management. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Network Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
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DbLabel: Engineering Source
An: 195548185
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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Intelligent+networks%22">Intelligent networks</searchLink><br /><searchLink fieldCode="DE" term="%22Ubiquitous+computing%22">Ubiquitous computing</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+infrastructure%22">Communication infrastructure</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+algorithms%22">Distributed algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+security%22">Computer network security</searchLink>
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  Data: This special issue explores emerging trends and technologies in ubiquitous network intelligence for next‐generation mobile edge network management and aims to provide valuable insights into the future of intelligent network management in an increasingly interconnected world. We received 48 original research contributions from different geographies, focusing on key challenges such as efficient data gathering from IoT and sensor nodes, distributed learning algorithms for network management, advanced Kubernetes orchestrators for inference, and security in 5G/6G networks. After a rigorous review process, involving three to seven experts per paper and oversight from guest editors, we selected 13 high‐quality research papers, representing a 27% acceptance rate. These papers collectively address the challenges and opportunities in realizing ubiquitous network intelligence from two crucial perspectives: AI for networking and networking for AI. Further, we summarize several open challenges that need to be addressed in the near future related to intelligent ubiquitous mobile edge network management. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Network Management is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195548185
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        Value: 10.1002/nem.70049
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      – Code: eng
        Text: English
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        PageCount: 6
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    Subjects:
      – SubjectFull: Intelligent networks
        Type: general
      – SubjectFull: Ubiquitous computing
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Communication infrastructure
        Type: general
      – SubjectFull: Distributed algorithms
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      – SubjectFull: Computer network security
        Type: general
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      – TitleFull: Intelligent Ubiquitous Mobile Edge Network Management.
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            NameFull: Murturi, Ilir
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            NameFull: Dehury, Chinmaya Kumar
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            NameFull: Monteiro, Edmundo
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 36
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