International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

Current Issues
     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Model for Advancing Network Automation Through Software-Defined and Data-Driven Engineering Solutions

Author(s):

Published:

Volume: 1 | Issue: 5 | Pages: 329-339

Subject: Computer Engineering

Country: Nigeria

DOI: https://doi.org/10.54660/IJMRGE.2020.1.5.329-339

License: CC BY 4.0

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Alternative download link

Abstract

The rapid evolution of digital communication networks has underscored the necessity for intelligent, autonomous systems capable of adapting to dynamic data demands and complex operational environments. This presents a Model for Advancing Network Automation Through Software-Defined and Data-Driven Engineering Solutions, designed to enhance scalability, flexibility, and efficiency in modern network infrastructures. The proposed model integrates Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Artificial Intelligence (AI)-driven analytics to enable real-time monitoring, automated configuration, and predictive optimization of network resources. By decoupling control and data planes, SDN provides centralized programmability and dynamic policy enforcement, while NFV introduces virtualized network functions that minimize hardware dependency and operational costs. The incorporation of Machine Learning (ML) algorithms facilitates data-driven decision-making, enabling automated fault detection, traffic prediction, and self-healing mechanisms that significantly improve network reliability and Quality of Service (QoS). The model also emphasizes data-centric engineering, leveraging big data analytics to continuously refine network performance and optimize bandwidth allocation based on traffic patterns and user behavior. Security is embedded through AI-based intrusion detection systems, encryption protocols, and policy-driven automation frameworks that ensure end-to-end protection. Furthermore, the model promotes energy-efficient operations and sustainable network management through intelligent resource scheduling and adaptive power utilization. Experimental evaluations and simulation results demonstrate substantial improvements in latency reduction, throughput enhancement, and fault tolerance compared to traditional network architectures. This contributes to the advancement of autonomous, self-optimizing digital ecosystems by bridging the gap between programmable networking and intelligent analytics. The proposed model provides a scalable foundation for next-generation applications, including 5G, IoT, cloud computing, and edge networks, ultimately driving the evolution toward fully automated, resilient, and adaptive communication infrastructures.

How to Cite This Article

Oluranti Ogundapo (2020). Model for Advancing Network Automation Through Software-Defined and Data-Driven Engineering Solutions . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 1(5), 329-339. DOI: https://doi.org/10.54660/IJMRGE.2020.1.5.329-339

Export Citation:

BibTeX RIS EndNote

References

  1. 1. Adebiyi FM, Akinola AS, Santoro A, Mastrolitti S. Chemicalanalysisofresinfractionof Nigerianbitumenfororganicandtracemetalcompositions. Petroleum Scienceand Technology.2017;35(13\:1370-80.
  2. 2. Adebiyi FM, Thoss V, Akinola AS. Comparativestudiesoftheelementsthatareassociatedwithpetroleumhydrocarbonformationin Nigeriancrudeoilandbitumenusing ICP-OES. Journalof Sustainable Energy Engineering.2014;2(1\:10-8.
  3. 3. Adekunle AS, Oyekunle JA, Durosinmi LM, Oluwafemi OS, Olayanju DS, Akinola AS, Obisesan OR, Akinyele OF, Ajayeoba TA. Potentialofcobaltandcobaltoxidenanoparticlesasnanocatalysttowardsdyesdegradationinwastewater. Nano-Structures&Nano-Objects.2020;21:100405.
  4. 4. Akinola AS, Adebiyi FM, Santoro A, Mastrolitti S. Studyofresinfractionof Nigeriancrudeoilusingspectroscopic/spectrometricanalyticaltechniques. Petroleum Scienceand Technology.2018;36(6\:429-36.
  5. 5. Akinrinoye OV, Kufile OT, Otokiti BO, Ejike OG, Umezurike SA, Onifade AY. Customersegmentationstrategiesinemergingmarkets: areviewoftools, models, andapplications. International Journalof Scientific Researchin Computer Science, Engineeringand Information Technology.2020;6(1\:194-217.
  6. 6. Asata MN, Nyangoma D, Okolo CH. Benchmarkingsafetybriefingefficacyincrewoperations: amixed-methodsapproach. IREJournal.2020;4(4\:310-2.
  7. 7. Asata MN, Nyangoma D, Okolo CH. Leadershipimpactoncabincrewcomplianceandpassengersatisfactionincivilaviation. IREJournals.2020;4(3\:153-61.
  8. 8. Asata MN, Nyangoma D, Okolo CH. Reframingpassengerexperiencestrategy: apredictivemodelfornetpromoterscoreoptimization. IREJournals.2020;4(5\:208-17.
  9. 9. Asata MN, Nyangoma D, Okolo CH. Strategiccommunicationforinflightteams: closingexpectationgapsinpassengerexperiencedelivery. International Journalof Multidisciplinary Researchand Growth Evaluation.2020;1(1\:183-94.
  10. 10. Atobatele OK, Hungbo AQ, Adeyemi CHRISTIANA. Leveragingbigdataanalyticsforpopulationhealthmanagement: acomparativeanalysisofpredictivemodelingapproachesinchronicdiseasepreventionandhealthcareresourceoptimization. IREJournals.2019;3(4\:370-80.
  11. 11. Atobatele OK, Hungbo AQ, Adeyemi CHRISTIANA. Digitalhealthtechnologiesandreal-timesurveillancesystems: transformingpublichealthemergencypreparednessthroughdata-drivendecisionmaking. IREJournals.2019;3(9\:417-25.
  12. 12. Atobatele OK, Hungbo AQ, Adeyemi CHRISTIANA. Evaluatingthestrategicroleofeconomicresearchinsupportingfinancialpolicydecisionsandmarketperformancemetrics. IREJournals.2019;2(10\:442-52.
  13. 13. Ayanbode N, Cadet E, Etim ED, Essien IA, Ajayi JO. Deeplearningapproachesformalwaredetectioninlarge-scalenetworks. IREJournals.2019;3(1\:483-502.
  14. 14. Bayeroju OF, Sanusi AN, Queen ZAMATHULA, Nwokediegwu SIKHAKHANE. Bio-basedmaterialsforconstruction: aglobalreviewofsustainableinfrastructurepractices.[publisherandjournaldetails.2019.
  15. 15. Bonfim MS, Dias KL, Fernandes SF. Integrated NFV/SDNarchitectures: asystematicliteraturereview. ACMComputing Surveys.2019;51(6\:1-39.
  16. 16. Bukhari TT, Oladimeji O, Etim ED, Ajayi JO. Advancingdataculturein West Africa: acommunity-orientedframeworkformentorshipandjobcreation. International Journalof Multidisciplinary Futuristic Development.2020;1(2\:1-18.
  17. 17. Covaci S, Repetto M, Risso F. Anewparadigmtoaddressthreatsforvirtualizedservices. In:2018IEEE42nd Annual Computer Softwareand Applications Conference(COMPSAC\;2018 Jul; Vol.2. p.689-94.
  18. 18. Dawadi BR, Rawat DB, Joshi SR, Keitsch MM. Towardsenergyefficiencyandgreennetworkinfrastructuredeploymentin Nepalusingsoftwaredefined IPv6networkparadigm. The Electronic Journalof Information Systemsin Developing Countries.2020;86(1\: e12114.
  19. 19. Dogra A, Jha RK, Jain S. Asurveyonbeyond5 Gnetworkwiththeadventof6G: architectureandemergingtechnologies. IEEEAccess.2020;9:67512-67547.
  20. 20. Emily H, Oliver B. Event-drivenarchitecturesinmodernsystems: designingscalable, resilient, andreal-timesolutions. International Journalof Trendin Scientific Researchand Development.2020;4(6\:1958-76.
  21. 21. Erigha ED, Obuse E, Ayanbode N, Cadet E, Etim ED. Machinelearning-drivenuserbehavioranalyticsforinsiderthreatdetection. IREJournals.2019;2(11\:535-44.
  22. 22. Essien IA, Ajayi JO, Erigha ED, Obuse E, Ayanbode N. Federatedlearningmodelsforprivacy-preservingcybersecurityanalytics. IREJournals.2020;3(9\:493-9.
  23. 23. Essien IA, Cadet E, Ajayi JO, Erigha ED, Obuse E, Babatunde LA, Ayanbode N. Frommanualtointelligent GRC: thefutureofenterpriseriskautomation. IREJournals.2020;3(12\:421-8.
  24. 24. Evans-Uzosike IO, Okatta CG. Strategichumanresourcemanagement: trends, theories, andpracticalimplications. Iconic Researchand Engineering Journals.2019;3(4\:264-70.
  25. 25. Farounbi BO, Ibrahim AK, Oshomegie MJ. Proposedevidence-basedframeworkfortaxadministrationreformtostrengtheneconomicefficiency.[publisher/journal
  26. 26. Fasasi ST, Adebowale OJ, Abdulsalam ABDULMALIQ, Nwokediegwu ZQS. Time-seriesmodelingofmethaneemissioneventsusingmachinelearningforecastingalgorithms. IREJournals.2020;4(4\:337-46.
  27. 27. Gon?alves LC, Sebasti?o P, Souto N, Correia A. Onefootprintby2-tieringenergyefficiencywith CO2offsetting. Electronics.2020;9(3\:464.
  28. 28. Haile BB, Mutafungwa E, H?m?l?inen J. Adata-drivenmultiobjectiveoptimizationframeworkforhyperdense5 Gnetworkplanning. IEEEAccess.2020;8:169423-43.
  29. 29. Hermosilla A, Zarca AM, Bernabe JB, Ortiz J, Skarmeta A. Securityorchestrationandenforcementin NFV/SDN-aware UAVdeployments. IEEEAccess.2020;8:131779-95.
  30. 30. Hungbo AQ, Adeyemi CHRISTIANA. Community-basedtrainingmodelforpracticalnursesinmaternaland International Journalof Multidisciplinary Researchand Growth Evaluationwww. allmultidisciplinaryjournal. com339childhealthclinics. IREJournals.2019;2(8\:217-35.
  31. 31. Hungbo AQ, Adeyemi C, Ajayi OO. Earlywarningescalationsystemforcareaidesinlong-termpatientmonitoring. IREJournals.2020;3(7\:321-45.
  32. 32. Jain S. Synergizingadvancedcloudarchitectureswithartificialintelligence: aparadigmforscalableintelligenceandnext-generationapplications. Technix International Journalfor Engineering Research.2020;7: a1-12.
  33. 33. Kamau EN. Energyefficiencycomparisonbetween2.1GHzand28GHzbasedcommunicationnetworks. Tampere(Finland\: Tampere Universityof Technology;2018.
  34. 34. Kandregula N. Exploringsoftware-definedvehicles: acomparativeanalysisof AIand MLmodelsforenhancedautonomyandperformance.2020.
  35. 35. Kellerer W, Kalmbach P, Blenk A, Basta A, Reisslein M, Schmid S. Adaptableanddata-drivensoftwarizednetworks: review, opportunities, andchallenges. Proceedingsofthe IEEE.2019;107(4\:711-31.
  36. 36. Kibria MG, Nguyen K, Villardi GP, Zhao O, Ishizu K, Kojima F. Bigdataanalytics, machinelearning, andartificialintelligenceinnext-generationwirelessnetworks. IEEEAccess.2018;6:32328-38.
  37. 37. Legrand T. Thearchitectureofpolicytransfer: ideas, institutionsandnetworksintransnationalpolicymaking. Cham: Springer Nature;2020.
  38. 38. Leng J, Zhou M, Zhao JL, Huang Y, Bian Y. Blockchainsecurity: asurveyoftechniquesandresearchdirections. IEEETransactionson Services Computing.2020;15(4\:2490-510.
  39. 39. Li Y, Su X, Ding AY, Lindgren A, Liu X, Prehofer C, etal. Enhancingtheinternetofthingswithknowledge-drivensoftware-definednetworkingtechnology: futureperspectives. Sensors.2020;20(12\:3459.
  40. 40. Ma B, Guo W, Zhang J. Asurveyofonlinedata-drivenproactive5 Gnetworkoptimisationusingmachinelearning. IEEEAccess.2020;8:35606-37.
  41. 41. Mabo T, Swar B, Aghili S. Avulnerabilitystudyofm Healthchronicdiseasemanagement(CDM\applications(apps\. In: World Conferenceon Information Systemsand Technologies;2018 Mar; Cham: Springer;2018. p.587-98.
  42. 42. Mammeri Z. Reinforcementlearningbasedroutinginnetworks: reviewandclassificationofapproaches. IEEEAccess.2019;7:55916-50.
  43. 43. Mao Q, Hu F, Hao Q. Deeplearningforintelligentwirelessnetworks: acomprehensivesurvey. IEEECommunications Surveys&Tutorials.2018;20(4\:2595-621.
  44. 44. Matter DIRS, An E. Stockreturnssensitivitytointerest
  45. 45. Mohammed AR, Mohammed SA, Shirmohammadi S. Machinelearninganddeeplearningbasedtrafficclassificationandpredictioninsoftwaredefinednetworking. In:2019IEEEInternational Symposiumon Measurements&Networking(M&N\;2019 Jul. p.1-6.
  46. 46. Mollah MB, Zhao J, Niyato D, Lam KY, Zhang X, Ghias AM, etal. Blockchainforfuturesmartgrid: acomprehensivesurvey. IEEEInternetof Things Journal.2020;8(1\:18-43.
  47. 47. Oni O, Adeshina YT, Iloeje KF, Olatunji OO. Artificialintelligencemodelfairnessauditorforloansystems. Journal ID.8993:1162.
  48. 48. Onyekachi O, Onyeka IG, Chukwu ES, Emmanuel IO, Uzoamaka NE. Assessmentofheavymetals; lead(Pb\, cadmium(Cd\andmercury(Hg\concentrationin Amaenyidumpsite Awka. IREJ.2020;3:41-53.
  49. 49. Osabuohien FO. Reviewoftheenvironmentalimpactofpolymerdegradation. Communicationin Physical Sciences.2017;2(1\.
  50. 50. Oshomegie MJ. Thespillovereffectsofstaffstrikeactiononmicro, smallandmediumscalebusinessesin Nigeria: acasestudyofthe Universityof Ibadanand
  51. 51. Petrov V, Lema MA, Gapeyenko M, Antonakoglou K, Moltchanov D, Sardis F, etal. Achievingend-to-endreliabilityofmission-criticaltrafficinsoftwarized5 Gnetworks. IEEEJournalon Selected Areasin Communications.2018;36(3\:485-501.
  52. 52. Qadri YA, Nauman A, Zikria YB, Vasilakos AV, Kim SW. Thefutureofhealthcareinternetofthings: asurveyofemergingtechnologies. IEEECommunications Surveys&Tutorials.2020;22(2\:1121-67.
  53. 53. Rafique W, Qi L, Yaqoob I, Imran M, Rasool RU, Dou W. Complementing Io Tservicesthroughsoftwaredefinednetworkingandedgecomputing: acomprehensivesurvey. IEEECommunications Surveys&Tutorials.2020;22(3\:1761-804.
  54. 54. Sanusi AN, Bayeroju OF, Nwokediegwu ZQS. Conceptualmodelforlow-carbonprocurementandcontractingsystemsinpublicinfrastructuredelivery. Journalof Frontiersin Multidisciplinary Research.2020;1(2\:81-92.
  55. 55. Sanusi AN, Bayeroju OF, Nwokediegwu ZQS. Frameworkforapplyingartificialintelligencetoconstructioncostpredictionandriskmitigation. Journalof Frontiersin Multidisciplinary Research.2020;1(2\:93-101.
  56. 56. Sanusi AN, Bayeroju OF, Queen ZAMATHULA, Nwokediegwu SIKHAKHANE. Circulareconomyintegrationinconstruction: conceptualframeworkformodularhousingadoption.2019.
  57. 57. Tang Y, Xiong J, Becerril-Arreola R, Iyer L. Ethicsofblockchain: aframeworkoftechnology, applications, impacts, andresearchdirections. Information Technology&People.2020;33(2\:602-32.
  58. 58. Umoren O, Didi PU, Balogun O, Abass OS, Akinrinoye OV. Linkingmacroeconomicanalysistoconsumerbehaviormodelingforstrategicbusinessplanninginevolvingmarketenvironments. IREJournals.2019;3(3\:203-13.
  59. 59. Usama M, Qadir J, Raza A, Arif H, Yau KLA, Elkhatib Y, etal. Unsupervisedmachinelearningfornetworking: techniques, applicationsandresearchchallenges. IEEEAccess.2019;7:65579-615.
  60. 60. Zhao Y, Li Y, Zhang X, Geng G, Zhang W, Sun Y. Asurveyofnetworkingapplicationsapplyingthesoftwaredefinednetworkingconceptbasedonmachinelearning. IEEEAccess.2019;7:95397-417.

Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

Share This Article: