How technology shapes network management
Abstract
Five areas of technological advancement that affect network management are examined. They are: expert systems and machine learning/induction: fault tolerance; object-oriented databases; facsimile; and ease of use (user friendliness). The following points are emphasized. Machine induction will give network managers the opportunity to understand reasons behind actions instead of just seeing the results. Fault tolerance means no scheduled downtime, freedom from obsessive machine management, enhanced opportunity to manipulate processes, and ease of expansion. When object-oriented data management systems are used in the development of network management systems, development efforts are significantly reduced because the same model is used for both programming and database accessing, and the model is a much better representation of the reality of the network than current data models. A major breakthrough will be the ability to access the same data items from two or more database management schemes simultaneously. Facsimile will experience rapid growth and will be integrated with other services. Ease of use is the central element for the intelligent use of future systems.>
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By the end of the decade, the application domains of ML started expanding to the operation and management of communication networks.
“By the end of the decade, the application domains of ML started expending to the operation and management of communication networks [57,217,289].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [57]
Cites
Rule-based expert systems for network management and operations: an introduction
Cronk, R. N., Callahan, P. H., & Bernstein, L. (1988) · IEEE Network · doi:10.1109/65.17975 · Cited by 61 · see citing works
Self-citationExpert systems in network management-the second revolution
Bernstein, L., & Yuhas, C. M. (1988) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.627 · Cited by 27 · see citing works
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
- Authors
- Bernstein, L., & Yuhas, C. M.
- Venue
- IEEE Network
- Published
- 1989-07
- Volume
- 3
- Issue
- 4
- Pages
- 16-19
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W1974790907
- Cited by
- 6
- References
- 2
- Citations by year
- 2018: 1 · 2015: 1 · 2014: 1 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Network (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Agent-Based Network Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- network management, expert systems, machine learning, induction, fault tolerance, object-oriented databases, facsimiles, ease of use, database management systems, network management system, data model
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