Abstract
Network Functions Virtualization is a new network architecture framework and is revolutionizing the way networking service that how to design and deploy. NFV promotes virtualizing network functions and improves the flexibility to resource orchestration for request service function chains. However, how to find the most suitable resource in NFV-based network resource is a challenge. This paper presents a comprehensive state of the NFV resource orchestration by introducing a dynamic resource orchestration architecture that can configure dynamic resources. With consideration of load balance, energy cost and resource consumption, the resource orchestration is formulated as a multi-objective optimal problem. Finally, a multi-objective simulated annealing algorithm is used to obtain the optimal resource strategy to deploy network functions. Simulation results show that the solution for dynamic resource orchestration can achieve approximate optimal solution in acceptable time and reduce 8% energy consumption with a 0.89 Jain’s fairness index.
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Acknowledgment
This work is supported by a grant from the National High Technology Research and Development Program of China (863 Program), No. 2014AA01A701, and Beijing Municipal Science and technology Commission research fund project No. Z16111000500000.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yu, B., Zheng, W., Wen, X., Lu, Z., Wang, L., Ma, L. (2018). Dynamic Resource Orchestration of Service Function Chaining in Network Function Virtualizations. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_14
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DOI: https://doi.org/10.1007/978-3-319-72823-0_14
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