Abstract
Supporting end-to-end personalized Quality of Services (QoS) delivery in existing network architecture is an ongoing issue. Software Defined Networking (SDN) model has emerged in response to the limitations of traditional network. Integrating Software Defined Network (SDN) architecture with Service Oriented Architecture (SOA) brings new concept for future service oriented delivery in SDN services. Researchers from both academic and industry are working to resolve the QoS limitations of service delivery, however; most of the proposed solutions are application oriented and unable to provide a reliable personalized QoS delivery in future service oriented SDN. This research propose a reliable Service Level Agreement (SLA) oriented Service Negotiation framework that would be able to provide reputation based personalized service delivery and assist in QoS management in SDN for informed decision making. Moreover, potential benefits of the proposed framework are also discussed in this paper in social, scientific and business aspects.
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Duan, Q., Ansari, N., Toy, M.: Software-defined network virtualization: an architectural framework for integrating SDN and NFV for service provisioning in future networks. IEEE Netw. 30(5), 10–16 (2016)
Martini, B., Paganelli, F.: A service-oriented approach for dynamic chaining of virtual network functions over multi-provider software-defined networks. Future Internet 8(2), 24 (2016)
Chieng, D., Marshall, A., Parr, G.: SLA brokering and bandwidth reservation negotiation schemes for QoS-aware internet. IEEE Trans. Netw. Serv. Manag. 2(1), 39–49 (2005)
Gomes, R.L., Bittencourt, L.F., Madeira, E.R.: A similarity model for virtual networks negotiation. In: Proceedings of the 29th Annual ACM Symposium on Applied Computing. ACM (2014)
Gomes, R.L., Bittencourt, L.F., Madeira, E.R.: SLA renegotiation according to traffic demand. In: 2nd Workshop on Network Virtualization and Intelligence for the Future Internet (WNetVirt) (2013)
Ghalwash, H., Huang, C.: A QoS framework for SDN-based networks. In: 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC) (2018)
Körner, M., Stanik, A., Kao, O.: Applying QoS in software defined networks by using WS-agreement. In: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE (2014)
Gharakheili, H.H., et al.: Personalizing the home network experience using cloud-based SDN. In: Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014. IEEE (2014)
Walayet Hussain, F.K.H., Hussain, O.K., Chang, E.: Provider-based optimized personalized viable SLA (OPV-SLA) framework to prevent SLA violation. Comput. J. Adv. Access 59, 1760–1783 (2016). Section A
Emeakaroha, V.C., et al.: Low level metrics to high level SLAs-LoM2HiS framework: bridging the gap between monitored metrics and SLA parameters in cloud environments. In: 2010 International Conference on High Performance Computing and Simulation (HPCS). IEEE (2010)
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Khan, S., Hussain, F.K. (2020). A SOA Based SLA Negotiation and Formulation Architecture for Personalized Service Delivery in SDN. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_10
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DOI: https://doi.org/10.1007/978-3-030-29029-0_10
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Online ISBN: 978-3-030-29029-0
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