<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>f577846d-3f83-43a8-a387-c7e2bd107ba1</doi_batch_id><timestamp>20240221033331607</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON COMPUTERS</full_title><issn media_type="electronic">2224-2872</issn><issn media_type="print">1109-2750</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23205</doi><resource>http://wseas.org/wseas/cms.action?id=4026</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>1</month><day>9</day><year>2023</year></publication_date><publication_date media_type="print"><month>1</month><day>9</day><year>2023</year></publication_date><journal_volume><volume>22</volume><doi_data><doi>10.37394/23205.2023.22</doi><resource>https://wseas.com/journals/computers/2023.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Effect of Conflicting Flows on TCP and UDP Data Transfer Rates in OpenFlow Switch for Software-Defined Networks (SDN)</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Mutaz Hamed</given_name><surname>Hussien</surname><affiliation>Faculty of Engineering, Future University, Khartoum, SUDAN</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Mohamed Khalafalla</given_name><surname>Hassan</surname><affiliation>Faculty of Engineering, Future University, Khartoum, SUDAN</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>Software-defined networking (SDN) is a framework that enhances scalability and agility in network simplicity and control. It is characterized by logical centralization, improving control, and data planes. Nevertheless, additional investigation is needed to fully understand the influence of flow conflict on the transfer rate variable. The present research aims to analyze the impact of flow conflict on the efficacy of the two protocols, the transmission control protocol (TCP) and the user datagram protocol (UDP), respectively, by utilizing throughput as a measure of efficiency. The measurements are verified through SDN OpenFlow networking modeling using MININET. The findings reveal a significant average alteration in transfer rate for TCP and UDP when SDN conflict rules are present, ultimately impacting network and operational efficiency.</jats:p></jats:abstract><publication_date media_type="online"><month>12</month><day>31</day><year>2023</year></publication_date><publication_date media_type="print"><month>12</month><day>31</day><year>2023</year></publication_date><pages><first_page>311</first_page><last_page>315</last_page></pages><publisher_item><item_number item_number_type="article_number">35</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2023-12-31"/><ai:license_ref applies_to="am" start_date="2023-12-31">https://wseas.com/journals/computers/2023/a725105-032(2023).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23205.2023.22.35</doi><resource>https://wseas.com/journals/computers/2023/a725105-032(2023).pdf</resource></doi_data><citation_list><citation key="ref0"><doi>10.1109/tdsc.2017.2726066</doi><unstructured_citation>Pisharody, S., et al., Brew: A security policy analysis framework for distributed SDNbased cloud environments. IEEE Transactions on Dependable and Secure Computing, 2017. 16(6): p. 1011-1025. </unstructured_citation></citation><citation key="ref1"><doi>10.1109/access.2021.3081629</doi><unstructured_citation>Khairi, M.H.H., et al., Detection and classification of conflict flows in SDN using machine learning algorithms. IEEE Access, 2021. 9: p. 76024-76037. </unstructured_citation></citation><citation key="ref2"><doi>10.1109/icccn.2018.8487415</doi><unstructured_citation>Cui, J., et al. Transaction-based flow rule conflict detection and resolution in SDN. In 2018 27th International Conference on Computer Communication and Networks (ICCCN), 2018, IEEE. </unstructured_citation></citation><citation key="ref3"><doi>10.31436/iiumej.v22i2.1613</doi><unstructured_citation>Khairi, M.H.H., et al., A Review of Flow Conflicts and Solutions in Software Defined Networks (SDN). IIUM Engineering Journal, 2021. 22(2): p. 178-187. </unstructured_citation></citation><citation key="ref4"><doi>10.1145/1355734.1355746</doi><unstructured_citation>McKeown, N., et al., OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review, 2008. 38(2): p. 69-74. </unstructured_citation></citation><citation key="ref5"><doi>10.37394/23205.2023.22.7</doi><unstructured_citation>Adeniji Oluwashola David, O.I.O., "Scalable Flow based Management Scheme in Software Define Network (SDN) using sFlow," WSEAS Transactions on Computers, vol. 22, pp. 64-69, 2023, https://doi.org/10.37394/23205.2023.22.7. </unstructured_citation></citation><citation key="ref6"><doi>10.1109/atnac.2015.7366816</doi><unstructured_citation>Lo, C.-C., P.-Y. Wu, and Y.-H. Kuo. Flow entry conflict detection scheme for softwaredefined network. In 2015 International Telecommunication Networks and Applications Conference (ITNAC). 2015. IEEE. </unstructured_citation></citation><citation key="ref7"><doi>10.1109/access.2020.2982859</doi><unstructured_citation>Hauser, F., et al., P4-MACsec: Dynamic topology monitoring and data layer protection with MACsec in P4-SDN. arXiv preprint arXiv:1904.07088, 2019. </unstructured_citation></citation><citation key="ref8"><doi>10.48084/etasr.1840</doi><unstructured_citation>Khairi, M.H.H., et al., et al., A Review of Anomaly Detection Techniques and Distributed Denial of Service (DDoS) on Software Defined Network (SDN). Engineering, Technology &amp; Applied Science Research, 2018. 8(2), p.2724-2730. </unstructured_citation></citation><citation key="ref9"><doi>10.1109/access.2017.2693376</doi><unstructured_citation>Wang, M.-H., et al., SDUDP: A reliable UDP-Based transmission protocol over SDN. IEEE Access, 2017. 5, p.5904-5916. </unstructured_citation></citation><citation key="ref10"><doi>10.11591/ijeecs.v22.i1.pp307-314</doi><unstructured_citation>Khairi, M.H., et al., Generation and collection of data for normal and conflicting flows in software defined network flow table. Indonesian J. Electr. Eng. Comput. Sci., 2021. 22(1), p.307. </unstructured_citation></citation><citation key="ref11"><doi>10.11591/ijece.v9i4.pp3203-3211</doi><unstructured_citation>Zaw, H.T. and A. Maw, Traffic management with elephant flow detection in software defined networks (SDN). International Journal of Electrical and Computer Engineering, 2019, 9(4), p.3203. </unstructured_citation></citation><citation key="ref12"><doi>10.37394/232026.2022.4.3</doi><unstructured_citation>Wael Hosny Fouad Aly, H.K., Nour Mostafa, Samer Alabed, "Towards Securing OpenFlow Controllers for SDNs using ARMA Models," International Journal of Applied Mathematics, Computational Science and Systems Engineering, vol. 4, pp. 21-29, 2022, DOI: 10.37394/232026.2022.4.3. </unstructured_citation></citation><citation key="ref13"><doi>10.11591/eei.v9i5.1928</doi><unstructured_citation>Ali, T.E., A.H. Morad, and M.A. Abdala, Traffic management inside software-defined data center networking. Bulletin of Electrical Engineering and Informatics, 2020, 9(5), p.2045-2054. </unstructured_citation></citation><citation key="ref14"><doi>10.11591/eei.v9i5.2413</doi><unstructured_citation>Monika, P., R.M. Negara, and D.D. Sanjoyo, Performance analysis of software defined network using intent monitor and reroute method on ONOS controller. Bulletin of Electrical Engineering and Informatics, 2020, 9(5), p.2065-2073. </unstructured_citation></citation><citation key="ref15"><doi>10.11591/ijeecs.v20.i1.pp256-263</doi><unstructured_citation>Khairi, H., et al., The impact of firewall on TCP and UDP throughput in an OpenFlow software defined network. Indonesian Journal of Electrical Engineering and Computer Science, 2020, 20(1), p.256-263. </unstructured_citation></citation><citation key="ref16"><doi>10.1016/j.comnet.2006.11.009</doi><unstructured_citation>Gu, Y. and R.L. Grossman, UDT: UDPbased data transfer for high-speed wide area networks. Computer Networks, 2007, 51(7), p.1777-1799.</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>