5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

Dynamic Resource Orchestration of Service Function Chaining in Network Function Virtualizations

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  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_14,
        author={Bangchao Yu and Wei Zheng and Xiangming Wen and Zhaoming Lu and Luhan Wang and Lu Ma},
        title={Dynamic Resource Orchestration of Service Function Chaining in Network Function Virtualizations},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={NFV Service function chains Performance optimization Resource orchestration},
        doi={10.1007/978-3-319-72823-0_14}
    }
    
  • Bangchao Yu
    Wei Zheng
    Xiangming Wen
    Zhaoming Lu
    Luhan Wang
    Lu Ma
    Year: 2018
    Dynamic Resource Orchestration of Service Function Chaining in Network Function Virtualizations
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_14
Bangchao Yu,*, Wei Zheng,*, Xiangming Wen, Zhaoming Lu,*, Luhan Wang,*, Lu Ma
    *Contact email: yubc0321@gmail.com, zhengweius@163.com, lzy_0372@163.com, wluhan@bupt.edu.cn

    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.