全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies

DOI: 10.4236/cn.2026.181002, PP. 10-32

Keywords: Networks and Communication, Network Architecture, Seamless Connectivity, Software-Defined Networks, Network Control

Full-Text   Cite this paper   Add to My Lib

Abstract:

The study aims to provide insights into the benefits and potential risks associated with its adoption. The findings will be valuable for organizations considering transitioning to SDN, offering guidance on how to effectively leverage this technology while addressing the challenges that may emerge during implementation. Furthermore, we detail the proposed control architectures, showing how the peculiar characteristics (and related goals). In the architecture design, we point out hybrid Control Architectures as a notable trend in SDN solutions targeting Wireless Scenarios. The Researcher provides his idea on the Open Flow Control diagram (OFC), managing heterogeneous networks and hybrid connection networks for seamless connectivity. It has become very complex and hard to manage due to upgrade and interoperability challenges. Software-Defined Network (SDN) addresses this problem by decoupling virtual resources from the physical resources. The goal of our research is to offer distributed Management Systems that can help with orchestration, dynamically partition access points and cell radios. Also, the work explores new approaches to controllers’ Virtual Connectivity within complex and hybrid infrastructure network technologies, in order to overcome the shortcomings of the current infrastructure. The proposed algorithm is arranged to cover all requirements for seamless positioning in future wireless networks.

References

[1]  Hossain, M.F., Ghosh, A., Al Mamun, M.A., Miazee, A.A., Al-lohedan, H., Ramalingam, R.J., et al. (2024) Design and Simulation Numerically with Performance Enhancement of Extremely Efficient Sb2Se3-Based Solar Cell with V2O5 as the Hole Transport Layer, Using SCAPS-1D Simulation Program. Optics Communications, 559, Article ID: 130410.
https://doi.org/10.1016/j.optcom.2024.130410
[2]  Li, B., Fei, Z.S. and Zhang, Y. (2020) UAV Communications for 5G and Beyond: Recent Advances and Future Trends. IEEE Internet of Things Journal, 6, 2241-2263.
https://doi.org/10.1109/JIOT.2018.2887086
[3]  De la Oliva, A., Soto, I., Banchs, A., Lessmann, J., Niephaus, C. and Melia, T. (2011) IEEE 802.21: Media Independence Beyond Handover. Computer Standards & Interfaces, 33, 556-564.
https://doi.org/10.1016/j.csi.2011.03.001
[4]  Gavrilovska, L., Atanasovski, V., Latkoski, P. and Rakovik, V. (2015) Analysis of Reconfigurability, Control and Resource Management in Heterogeneous Wireless Networks. International Journal of Computers Communications & Control, 10, 318-332.
https://doi.org/10.15837/ijccc.2015.3.602
[5]  McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., et al. (2008) OpenFlow: Enabling Innovation in Campus Networks. ACM SIGCOMM Computer Communication Review, 38, 69-74.
https://doi.org/10.1145/1355734.1355746
[6]  Mohajer, A., et al. (2022) Energy-Aware Hierarchical Resource Management and Backhaul Traffic Optimization in Heterogeneous Cellular Networks. IEEE Systems Journal, 16, 5188-5199.
https://doi.org/10.1109/JSYST.2022.3154162
[7]  Doria, A., Salim, J.H., Haas, R., Khosravi, H., Wang, W., Dong, L., Gopal, R. and Halpern, J. (2010) Forwarding and Control Element Separation (ForCES) Protocol Specification. RFC 5810 (Proposed Standard).
https://datatracker.ietf.org/doc/rfc5810/
[8]  Yang, L., Dantu, R., Anderson, T. and Gopal, R. (2004) Forwarding and Control Element Separation (ForCES) Framework. RFC 3746 (Informational).
http://datatracker.ietf.org/doc/rfc3746/
[9]  Farrel, A., Vasseur, J.P. and Ash, J. (2006) A Path Computation Element (PCE)-Based Architecture (No. RFC 4655).
http://www.researchgate.net/publication/294473181_ASTN_functIon_for_trAnsport_se%20(No.ervice_enhAcment(PDF)ASTN%20function%20for%20transport%20service%20enhancement
[10]  Rodriguez-Natal, A., Barkai, S., Ermagan, V., Lewis, D., Maino, F. and Farinacci, D. (2014) Soft-Ware Defined Networking Extensions for the Locator/ID Separation Protocol. Internet Draft (Experimental).
http://wiki.tools.ietf.org/id/draft-rodrigueznatallisp-sdn-00.txt
[11]  Berde, P., Gerola, M., Hart, J., Higuchi, Y., Kobayashi, M., Koide, T., et al. (2014) ONOS: Towards an Open, Distributed SDN OS. Proceedings of the Third Workshop on Hot Topics in Software Defined Networking, Chicago, 22 August 2014, 1-6.
https://doi.org/10.1145/2620728.2620744
[12]  Brocade Communications Systems (2012) Network Transformation with Software-Defined Networking and Ethernet Fabrics, California, USA.
http://www.brocade.com/downloads/documents/positioningpapers/network-transformation-sdn-wp.pdf
[13]  Vasilakos, X., Siris, V.A. and Polyzos, G.C. (2016) Addressing Niche Demand Based on Joint Mobility Prediction and Content Popularity Caching. Computer Networks, 110, 306-323.
https://doi.org/10.1016/j.comnet.2016.10.001
[14]  Benzekki, K., El, A. and El, A. (2016) A Secure Cloud Computing Architecture Using Homomorphic Encryption. International Journal of Advanced Computer Science and Applications, 7, 293-298.
https://doi.org/10.14569/ijacsa.2016.070241
[15]  Cisco Systems (2016) Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016-2020.
[16]  Finamore, A., Mellia, M., Munafò, M.M., Torres, R. and Rao, S.G. (2011) YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience. Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference, Berlin, 2-4 November 2011, 345-360.
https://doi.org/10.1145/2068816.2068849
[17]  Xu, J.L., Liu, J.C., Li, B. and Jia, X.H. (2004) Caching and Prefetching for Web Content Distribution. Computing in Science & Engineering, 6, 54-59.
https://doi.org/10.1109/mcse.2004.5
[18]  Applegate, D., Archer, A., Gopalakrishnan, V., Lee, S. and Ramakrishnan, K.K. (2010) Optimal Content Placement for A Large-Scale VoD System. Proceedings of the 6th International Conference, Philadelphia, 30 November-3 December 2010, 1-12.
https://doi.org/10.1145/1921168.1921174
[19]  Golrezaei, N., Shanmugam, K., Dimakis, A.G., Molisch, A.F. and Caire, G. (2012) FemtoCaching: Wireless Video Content Delivery through Distributed Caching Helpers. 2012 Proceedings IEEE INFOCOM, 25-30 March 2012, 1107-1115.
https://doi.org/10.1109/infcom.2012.6195469
[20]  Zhang, F., Xu, C., Zhang, Y., Ramakrishnan, K.K., Mukherjee, S., Yates, R., et al. (2015) EdgeBuffer: Caching and Prefetching Content at the Edge in the MobilityFirst Future Internet Architecture. 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, 14-17 June 2015, 1-9.
https://doi.org/10.1109/wowmom.2015.7158137
[21]  Jurdak, R., Zhao, K., Liu, J., AbouJaoude, M., Cameron, M. and Newth, D. (2015) Understanding Human Mobility from Twitter. PLOS ONE, 10, e0131469.
https://doi.org/10.1371/journal.pone.0131469
[22]  Silveira, J.L., Almeida, H.N.A.Z., et al. (2016) MobHet: Predicting Human Mobility Using Heterogeneous Data Sources. Computer Communications, 95, 54-68.
https://doi.org/10.1016/j.comcom.2016.04.013
[23]  Lu, X., Wetter, E., Bharti, N., Tatem, A.J. and Bengtsson, L. (2013) Approaching the Limit of Predictability in Human Mobility. Scientific Reports, 3, Article No. 2923.
https://doi.org/10.1038/srep02923
[24]  Blondel, V.D., Decuyper, A. and Krings, G. (2015) A Survey of Results on Mobile Phone Datasets Analysis. EPJ Data Science, 4, Article No. 10.
https://doi.org/10.1140/epjds/s13688-015-0046-0
[25]  Singh, A.K., Singh, P., Singh, S. and Singh, A.K. (2011) Handover in Advanced Wireless Communication: A Survey. International Journal On Computer Science & Emerging Trends, 1, 510-515.
[26]  Bhuvaneswari, A. and George Dharma Prakash Raj, E. (2012) An Overview of Vertical Handoff Decision Making Algorithms. International Journal of Computer Network and Information Security, 4, 55-62.
https://doi.org/10.5815/ijcnis.2012.09.07
[27]  Jirapure, P.S. and Vidhate, A.V. (2014) Survey and Analysis of Handoff Decision Strategies for Heterogeneous Mobile Wireless Networks. International Journal of Advanced Research in Computer Science and Software Engineering, 4, 703-713.
[28]  Baumann, P. (2016) Human Mobility and Application Usage Prediction Alogrithm for Mobile Device. Master’s Thesis, Technische Universität Dresden.
[29]  Silla, C.N. and Freitas, A.A. (2010) A Survey of Hierarchical Classification across Different Application Domains. Data Mining and Knowledge Discovery, 22, 31-72.
https://doi.org/10.1007/s10618-010-0175-9
[30]  Ekman, F., Keränen, A., Karvo, J. and Ott, J. (2008) Working Day Movement Model. Proceedings of the 1st ACM SIGMOBILE Workshop on Mobility Models, Hong Kong, 26 May 2008, 33-40.
https://doi.org/10.1145/1374688.1374695
[31]  Smith, G., Wieser, R., Goulding, J. and Barrack, D. (2014) A Refined Limit on the Predictability of Human Mobility. 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom), Budapest, 24-28 March 2014, 88-94.
https://doi.org/10.1109/percom.2014.6813948
[32]  Hassane, A.A.I., Li, R.F. and Zeng, F.Z. (2012) Handover Decision Based on User Preferences in Heterogeneous Wireless Networks. International Journal of Computer Science and Telecommunications, 3, 15-20.
[33]  You, L., Liu, C.G. and Tong, S. (2011) Community Medical Network (CMN): Architecture and Implementation. 2011 Global Mobile Congress, Shanghai, 17-18 October 2011, 1-6.
https://doi.org/10.1109/gmc.2011.6103930
[34]  Zhang, N. and Holtzman, J.M. (1998) Analysis of a CDMA Soft-Handoff Algorithm. IEEE Transactions on Vehicular Technology, 47, 710-714.
https://doi.org/10.1109/25.669108
[35]  Prasad, R. (2007) Personal Networks and 4G. ELMAR 2007, Zadar, 12-14 September 2007, 1-6.
https://doi.org/10.1109/elmar.2007.4418788
[36]  Celić, L., Varga, M., Pozaić, T., Žulj, S., Džaja, D. and Magjarević, R. (2013) WBAN for Physical Activity Monitoring in Health Care and Wellness. In: Long, M., Ed., World Congress on Medical Physics and Biomedical Engineering, Springer, 2228-2231.
https://doi.org/10.1007/978-3-642-29305-4_585
[37]  Džaja, D., Varga, M., Šeketa, G., Žulj, S., Celić, L., Lacković, I., et al. (2015) System for Assisted Exercising and Qualitative Exercise Assessment. In: Lacković, I. and Vasic, D., Eds., 6th European Conference of the International Federation for Medical and Biological Engineering, Springer, 682-686.
https://doi.org/10.1007/978-3-319-11128-5_170
[38]  Ali, M. (2012) Load Balancing in Heterogeneous Wireless Communication Networks. Master’s Thesis.
[39]  Hamaguchi, K., et al. (2012) Telecommunication Systems in Smart Cities. Hitachi Review, 61, 152-158.
[40]  Chen, S.Z., Shi, Y. and Ai, B.H.M. (2016) Mobility Management Principle, Technology and Applications. Springer.
[41]  Sathya, V., Kala, S.M., Bhupeshraj, S. and Tamma, B.R. (2020) RAPTAP: A Socio-Inspired Approach to Resource Allocation and Interference Management in Dense Small Cells. Wireless Networks, 27, 441-464.
https://doi.org/10.1007/s11276-020-02460-7
[42]  Cao, J.N. and Zhang, C.S. (2014) Seamless and Secure Communications over Heterogeneous Wireless Networks. Springer.
[43]  Xu, Y., Gui, G., Gacanin, H. and Adachi, F. (2021) A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges. IEEE Communications Surveys & Tutorials, 23, 668-695.
https://doi.org/10.1109/comst.2021.3059896
[44]  Pitoura, E. and Samaras, G. (2001) Locating Objects in Mobile Computing. IEEE Transactions on Knowledge and Data Engineering, 13, 571-592.
https://doi.org/10.1109/69.940733
[45]  Alablani, I.A. and Arafah, M.A. (2021) Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California. IEEE Access, 9, 153909-153925.
https://doi.org/10.1109/access.2021.3128141
[46]  Tera, S.P., et al. (2015) Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity. IEEE Access, 13, 925-961.
https://doi.org/10.1109/ACCESS.2024.3523327
[47]  Bing, B. (2008) Emerging Technologies in Wireless LANs—Theory, Design and Deployment. Cambridge University Press.
[48]  Hossmann, T. (2006) Mobility Prediction in MANETs. Master’s Thesis, Swiss Federal Institute of Technology (ETH) in Zürich.
[49]  IEEE (2009) IEEE Standard for Local and Metropolitan Area Networks—Part 21: Media Independent Handover Services. IEEE Std 802.21-2008.
[50]  Mau, D.O., Wang, J., Wang, L., Hu, L., Ma, Y. and Zhang, Y. (2014) SIMON: Seamless Service Migration in Mobile Network. In: Leung, V., Chen, M., Wan, J. and Zhang, Y., Eds., Testbeds and Research Infrastructure: Development of Networks and Communities, Springer, 261-270.
https://doi.org/10.1007/978-3-319-13326-3_25
[51]  Liu, Y.H. and Yang, Z. (2011) Location, Localization, and Localizability. Springer.
[52]  Sanford, J.F., Potkonjak, M. and Slijepcevic, S. (2012) Localization in Wireless Networks. Springer.
[53]  Chowdhury, M.Z., Shahjalal, M., Ahmed, S. and Jang, Y.M. (2020) 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957-975.
https://doi.org/10.1109/ojcoms.2020.3010270
[54]  Andreas Klein, D.I. (2014) Context Awareness for Enhancing Heterogeneous Access Management and Self-Optimizing Networks. PhD Thesis.
[55]  Wu, C.H., Lin, H.P. and Lan, L.S. (2002) A New Analytic Framework for Dynamic Mobility Management of PCS Networks. IEEE Transactions on Mobile Computing, 1, 208-220.
https://doi.org/10.1109/tmc.2002.1081756
[56]  Thiyagarajan, S. and Sedhu, S. (2014) NIA Based Mobility Management Technique for Seamless Roaming in Heterogeneous Networks. International Journal of Future Generation Communication and Networking, 7, 21-32.
https://doi.org/10.14257/ijfgcn.2014.7.6.03

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133