A Short Review on the Dynamic Slice Management in Software-Defined Network Virtualization
Received: 14 September 2023 | Revised: 30 September 2023 | Accepted: 2 October 2023 | Online: 22 October 2023
Corresponding author: Mohamed Khalafalla Hassan
Abstract
Software-Defined Network (SDN) is a contemporary networking technology that offers enhanced network flexibility and streamlines network management processes. Virtual Software-Defined Networking (vSDN) enables the dynamic allocation and sharing of physical networking resources among several slices, each representing distinct service providers or services. Each tenant is granted autonomous control over their respective services or applications within the Virtual Network (VN). Network virtualization allows providers to deliver novel, advanced services while enhancing efficiency and dependability. Utilizing numerous virtual networks on a specific infrastructure presents difficulties in implementing effective resource allocation mechanisms to prevent congestion and resource scarcity while maintaining the Service Level Agreements (SLAs) in the vSDN. A limited body of research has focused on dynamic slice allocation in the vSDN domain. This article will briefly review dynamic resource management, focusing on slice resource dynamic allocation through SDN hypervisors. The survey outlined that very few studies have tackled the impact of dynamicity slice management in vSDN, and there are research gaps in implementing proactive and intelligent frameworks for slice management in vSDN.
Keywords:
software defined network, slice management, virtualization, hypervisorsDownloads
References
M. Berman et al., "GENI: A federated testbed for innovative network experiments," Computer Networks, vol. 61, pp. 5–23, Mar. 2014. DOI: https://doi.org/10.1016/j.bjp.2013.12.037
M. K. Hassan et al., "DLVisor: Dynamic Learning Hypervisor for Software Defined Network," IEEE Access, vol. 11, pp. 84144–84167, 2023. DOI: https://doi.org/10.1109/ACCESS.2023.3302266
M. K. Hassan, A. Babiker, M. Baker, and M. Hamad, "SLA Management For Virtual Machine Live Migration Using Machine Learning with Modified Kernel and Statistical Approach," Engineering, Technology & Applied Science Research, vol. 8, no. 1, pp. 2459–2463, Feb. 2018. DOI: https://doi.org/10.48084/etasr.1692
M. H. H. Khairi, S. H. S. Ariffin, N. M. A. Latiff, A. S. Abdullah, and M. K. Hassan, "A Review of Anomaly Detection Techniques and Distributed Denial of Service (DDoS) on Software Defined Network (SDN)," Engineering, Technology & Applied Science Research, vol. 8, no. 2, pp. 2724–2730, Apr. 2018. DOI: https://doi.org/10.48084/etasr.1840
A. A. Blenk, "Towards Virtualization of Software-Defined Networks: Analysis, Modeling, and Optimization," Ph.D. dissertation, Technical University of Munich, Munich, Germany, 2018.
R. Sherwood et al., "FlowVisor: A Network Virtualization Layer," OpenFlow Switch Consortium, Technical Report 1: 132, Jan. 2009.
N. Van Giang and Y. H. Kim, "Slicing the next mobile packet core network," in 11th International Symposium on Wireless Communications Systems, Barcelona, Spain, Aug. 2014, pp. 901–904. DOI: https://doi.org/10.1109/ISWCS.2014.6933481
A. A. Abuelgasim, M. K. Hassan, M. H. Khairi, M. N. Marsono, and K. M. Yusof, "Real-time high-speed mobility management," Indonesian Journal of Electrical Engineering and Computer Science, vol. 24, no. 3, pp. 1534–1541, Dec. 2021. DOI: https://doi.org/10.11591/ijeecs.v24.i3.pp1534-1541
T. Koponen et al., "Network virtualization in multi-tenant datacenters," in 11th USENIX Conference on Networked Systems Design and Implementation, Seattle, WA, USA, Apr. 2014, pp. 203–216.
H. Yamanaka, E. Kawai, and S. Shimojo, "AutoVFlow: Virtualization of large-scale wide-area OpenFlow networks," Computer Communications, vol. 102, pp. 28–46, Apr. 2017. DOI: https://doi.org/10.1016/j.comcom.2016.12.006
Y. Han et al., "ONVisor: Towards a scalable and flexible SDN-based network virtualization platform on ONOS," International Journal of Network Management, vol. 28, no. 2, Mar. 2018, Art. no. e2012. DOI: https://doi.org/10.1002/nem.2012
V. Struhar, M. Ashjaei, M. Behnam, S. S. Craciunas, and A. V. Papadopoulos, "DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks," in 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, Oct. 2019, vol. 1, pp. 2934–2939. DOI: https://doi.org/10.1109/IECON.2019.8927780
L. Leonardi, L. Lo Bello, and S. Agliano, "Priority-Based Bandwidth Management in Virtualized Software-Defined Networks," Electronics, vol. 9, no. 6, Jun. 2020, Art. no. 1009. DOI: https://doi.org/10.3390/electronics9061009
W. Zhao, H. Yang, J. Li, L. Shang, L. Hu, and Q. Fu, "Network Traffic Prediction in Network Security Based on EMD and LSTM," in 9th International Conference on Computer Engineering and Networks, Singapore, Asia, Jul. 2021, pp. 509–518. DOI: https://doi.org/10.1007/978-981-15-3753-0_50
G. Yang, Y. Yoo, M. Kang, H. Jin, and C. Yoo, "Bandwidth Isolation Guarantee for SDN Virtual Networks," in IEEE Conference on Computer Communications, Vancouver, BC, Canada, Dec. 2021, pp. 1–10. DOI: https://doi.org/10.1109/INFOCOM42981.2021.9488797
A. Ahmadian and M. Ahmadi, "DC-CAMP: Dynamic Controller Creation, Allocation and Management Protocol in SDN," Wireless Personal Communications, vol. 125, no. 1, pp. 531–558, Jul. 2022. DOI: https://doi.org/10.1007/s11277-022-09563-8
M. K. Hassan, S. H. S. Ariffin, S. K. S.- Yusof, N. E. Ghazali, and M. E. Kanona, "Analysis of hybrid non-linear autoregressive neural network and local smoothing technique for bandwidth slice forecast," TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 19, no. 4, pp. 1078–1089, Aug. 2021. DOI: https://doi.org/10.12928/telkomnika.v19i4.17024
M. K. Hassan et al., "Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts," Sensors, vol. 22, no. 9, Jan. 2022, Art. no. 3592. DOI: https://doi.org/10.3390/s22093592
M. K. Hassan, S. H. Sayed Ariffin, S. K. Syed-Yusof, N. E. Ghazali, M. E. Ahmed Kanona, and M. Rava, "Smoothing-aided long-short term memory neural network-based LTE network traffic forecasting," International Journal of Electrical and Computer Engineering, vol. 12, no. 6, pp. 6859–6868, Dec. 2022. DOI: https://doi.org/10.11591/ijece.v12i6.pp6859-6868
M. E. A. Kanona, M. G. Hamza, A. G. Abdalla, and M. K. Hassan, "A Review of Ground Target Detection and Classification Techniques in Forward Scattering Radars," Engineering, Technology & Applied Science Research, vol. 8, no. 3, pp. 3018–3022, Jun. 2018. DOI: https://doi.org/10.48084/etasr.2026
Y. Yoo, G. Yang, C. Shin, J. Lee, and C. Yoo, "Control Channel Isolation in SDN Virtualization: A Machine Learning Approach," in 23rd International Symposium on Cluster, Cloud and Internet Computing, Bangalore, India, Dec. 2023, pp. 273–285. DOI: https://doi.org/10.1109/CCGrid57682.2023.00034
A. Al-Shabibi, M. D. Leenheer, M. Gerola, A. Koshibe, W. Snow, and G. Parulkar, "OpenVirteX: A Network Hypervisor," presented at the Open Networking Summit 2014, 2014. DOI: https://doi.org/10.1145/2620728.2620741
R. Doriguzzi-Corin, E. Salvadori, M. Gerola, M. Sune, and H. Woesner, "A Datapath-Centric Virtualization Mechanism for OpenFlow Networks," in Third European Workshop on Software Defined Networks, Budapest, Hungary, Sep. 2014, pp. 19–24. DOI: https://doi.org/10.1109/EWSDN.2014.19
Z. Bozakov and P. Papadimitriou, "AutoSlice: automated and scalable slicing for software-defined networks," in ACM conference on CoNEXT student workshop, Nice, France, Dec. 2012, pp. 3–4. DOI: https://doi.org/10.1145/2413247.2413251
L. Liao, A. Shami, and V. C. M. Leung, "Distributed FlowVisor: a distributed FlowVisor platform for quality of service aware cloud network virtualisation," IET Networks, vol. 4, no. 5, pp. 270–277, 2015. DOI: https://doi.org/10.1049/iet-net.2014.0107
X. Jin, J. Gossels, J. Rexford, and D. Walker, "CoVisor: a compositional hypervisor for software-defined networks," in 12th USENIX Conference on Networked Systems Design and Implementation, Oakland, CA, USA, Dec. 2015, pp. 87–101.
J.-L. Chen, Y.-W. Ma, H.-Y. Kuo, C.-S. Yang, and W.-C. Hung, "Software-Defined Network Virtualization Platform for Enterprise Network Resource Management," IEEE Transactions on Emerging Topics in Computing, vol. 4, no. 2, pp. 179–186, Apr. 2016. DOI: https://doi.org/10.1109/TETC.2015.2478757
S. Agliano, M. Ashjaei, M. Behnam, and L. L. Bello, "Resource management and control in virtualized SDN networks," in Real-Time and Embedded Systems and Technologies, Tehran, Iran, Dec. 2018, pp. 47–53. DOI: https://doi.org/10.1109/RTEST.2018.8397078
G. Yang, B. Yu, H. Jin, and C. Yoo, "Libera for Programmable Network Virtualization," IEEE Communications Magazine, vol. 58, no. 4, pp. 38–44, Apr. 2020. DOI: https://doi.org/10.1109/MCOM.001.1900290
Downloads
How to Cite
License
Copyright (c) 2023 Mohamed Khalafalla Hassan, Sharifah Hafizah Sayed Ariffin, Sharifah Kamila Syed-Yusof, Nurzal Effiyana Ghazali, Kobby Asare Obeng
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
