TY - GEN
T1 - Dynamic Network Service Orchestrator - From Idea to Realization
AU - Ahmed Khan, Manzoor
AU - El Sayed, Hesham
N1 - Funding Information:
II. CONCURRENT APPROACHES Many NFV orchestration solutions were developed in last years with the maturation of Network Function Virtualization. There are some upcoming commercial products in the market and also open source projects are released. Many research projects and open source tools are being developed by industries. For example, T-NOVA [3], SONATA [4] or UNIFY [5] are some research projects funded by European Union research and development programs. Be-sides, there are some open source tools such as OpenMano [6], OpenBaton [7], Gigaspaces Cloudify [8].
Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In the past several years, network operators have been struggling with high demands. Customers are engaging in activities that overwhelm the network, which are driven by the application domains like: autonomous driving, virtual reality, and other smart city applications. Such varying demands need quick configuration response and elastic network re-sources. The enabling technologies like cloud computing, Network Function Virtualization (NFV), Software Defined Networking (SDN), and their interplay enable the achievement of solutions to aforementioned problems. Virtualization of network infrastructures enables unique opportunities for operators to scale, utilize and automate their operations. These services should be managed and orchestrated in an efficient way. Management of virtual network functions needs to improve responsiveness by decreasing time to manage a network services. ETSI MANO is a standard architecture that defines network orchestration. Although there are a few Open-Source solutions available, they do not meet the requirements of orchestrating for specialized domains. In this paper, an evolutionary approach to design and develop a Network Service Orchestrator is proposed. In essence, the proposed approach grasps the benefits of Network Virtualization like simplicity, flexibility and vendor-neutrality. Moreover, a proof-of-concept implementation of the proposed network service orchestra-tor is demonstrated with an innovative management and monitoring of the network. Lastly, the concept is validated with an example use-case, graphical user interface.
AB - In the past several years, network operators have been struggling with high demands. Customers are engaging in activities that overwhelm the network, which are driven by the application domains like: autonomous driving, virtual reality, and other smart city applications. Such varying demands need quick configuration response and elastic network re-sources. The enabling technologies like cloud computing, Network Function Virtualization (NFV), Software Defined Networking (SDN), and their interplay enable the achievement of solutions to aforementioned problems. Virtualization of network infrastructures enables unique opportunities for operators to scale, utilize and automate their operations. These services should be managed and orchestrated in an efficient way. Management of virtual network functions needs to improve responsiveness by decreasing time to manage a network services. ETSI MANO is a standard architecture that defines network orchestration. Although there are a few Open-Source solutions available, they do not meet the requirements of orchestrating for specialized domains. In this paper, an evolutionary approach to design and develop a Network Service Orchestrator is proposed. In essence, the proposed approach grasps the benefits of Network Virtualization like simplicity, flexibility and vendor-neutrality. Moreover, a proof-of-concept implementation of the proposed network service orchestra-tor is demonstrated with an innovative management and monitoring of the network. Lastly, the concept is validated with an example use-case, graphical user interface.
KW - Network Virtualization
KW - Resource allocation
KW - Service Orchestration
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U2 - 10.1109/ICCIA49625.2020.00050
DO - 10.1109/ICCIA49625.2020.00050
M3 - Conference contribution
AN - SCOPUS:85092061882
T3 - Proceedings - 2020 5th International Conference on Computational Intelligence and Applications, ICCIA 2020
SP - 228
EP - 233
BT - Proceedings - 2020 5th International Conference on Computational Intelligence and Applications, ICCIA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Computational Intelligence and Applications, ICCIA 2020
Y2 - 19 June 2020 through 21 June 2020
ER -