Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimized Load Balancing Technique for Software Defined Network Subject The topic of the resource Load balancing; Performance enhancement; SDN; Software-defined networks Description An account of the resource Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology. It mitigates the issues that our conventional network was experiencing. However, traffic data generated by various applications is increasing day by day. In addition, as an organization's digital transformation is accelerated, the amount of information to be processed inside the organization has increased explosively. It might be possible that a Software-Defined Network becomes a bottleneck and unavailable. Various models have been proposed in the literature to balance the load. However, most of the works consider only limited parameters and do not consider controller and transmission media loads. These loads also contribute to decreasing the performance of Software- Defined Networks. This work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the load. We proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network load. The simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Kumar A.; Anand D.; Jha S.; Joshi G.P.; Cho W. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-72, No. 1, pp. 1409-1426. Publisher An entity responsible for making the resource available Tech Science Press Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.32604/cmc.2022.024970" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.024970</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125396053&amp;doi=10.32604%2Fcmc.2022.024970&amp;partnerID=40&amp;md5=60ee45072d752c9abab13d3295995767" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125396053&amp;doi=10.32604%2fcmc.2022.024970&amp;partnerID=40&amp;md5=60ee45072d752c9abab13d3295995767</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15462218 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar A., Department of Computer Science and Engineering, Chandigarh University, Punjab, Mohali, 140413, India; Anand D., Department of Computer Science and Engineering, Chandigarh University, Punjab, Mohali, 140413, India; Jha S., School of Computational Sciences, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Joshi G.P., Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea; Cho W., Department of Automotive ICT Convergence Engineering, Daegu Catholic University, Gyeongsan, 38430, South Korea