Resource-efficient Virtual Network Function Placement in Operator Networks

被引:0
|
作者
Song, Xue [1 ]
Zhang, Xiaoning [1 ]
Yu, Shui [2 ]
Jiao, Shundan [1 ]
Xu, Zhichao [1 ]
机构
[1] Univ Elect Sci & Technol China, Educ Minist China, Key Lab Opt Fiber Sensing & Commun, Chengdu, Sichuan, Peoples R China
[2] Deakin Univ, Sch Informat Technol, Geelong, Vic, Australia
来源
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年
基金
中国国家自然科学基金;
关键词
Network Function Virtualization; Service Function Chain; throughput; Hidden Markov Model; HIDDEN MARKOV-MODELS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Network Function Virtualization (NFV) is an emerging network resource utilization approach which decouples network functions from proprietary hardware. To accommodate Service Function Chain (SFC) requests, service providers offer Virtual Network Function (VNF) instances in operator networks. However, how to efficiently place VNFs at various network locations while jointly optimizing computing and communication resource is still an open problem. To this end, we study the resource-efficient VNF placement problem in operator networks. We firstly formulate this problem as an Integer Linear Programming (ILP) model. Then we design an efficient heuristic algorithm named Resource-efficient Virtual Network Function Placement (RVNFP) based on Hidden Markov Model (HMM). Extensive simulation results show that compared with the previous VNF placement algorithms, RVNFP saves up to 12.51% network cost, and achieves a good tradeoff between computing resource cost and communication resource cost.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Energy-Saving and Resource-Efficient Algorithm for Virtual Network Function Placement With Network Scaling
    Chen, Minghao
    Sun, Yi
    Hu, Hailin
    Tang, Liangrui
    Fan, Bing
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2021, 5 (01): : 29 - 40
  • [2] Energy-efficient Virtual Network Function Placement in Telecom Networks
    Xu, Zhichao
    Zhang, Xiaoning
    Yu, Shui
    Zhang, Ji
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [3] On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
    Roth, Wolfgang
    Pernkopf, Franz
    Schindler, Gunther
    Froening, Holger
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 10297 - 10304
  • [4] Virtual Network Embedding in Fiber-Wireless Access Networks for Resource-Efficient IoT Service Provisioning
    Liu, Yejun
    Yang, Yahe
    Han, Pengchao
    Shao, Zeyu
    Li, Chengming
    IEEE ACCESS, 2019, 7 : 65506 - 65517
  • [5] Efficient virtual network function placement strategies for Cloud Radio Access Networks
    Bhamare, Deval
    Erbad, Aiman
    Jain, Raj
    Zolanvari, Maede
    Samaka, Mohammed
    COMPUTER COMMUNICATIONS, 2018, 127 : 50 - 60
  • [6] Virtual network function placement and resource optimization in NFV and edge computing enabled networks
    Li, Defang
    Hong, Peilin
    Xue, Kaiping
    Pei, Jianing
    COMPUTER NETWORKS, 2019, 152 : 12 - 24
  • [7] An Efficient Algorithm for Virtual Network Function Placement and Chaining
    Soualah, Oussama
    Mechtri, Marouen
    Ghribi, Chaima
    Zeghlache, Djamal
    2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 647 - 652
  • [8] Joint Availability Guarantee and Resource Optimization of Virtual Network Function Placement in Data Center Networks
    Wang, Meng
    Cheng, Bo
    Chen, Junliang
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2020, 17 (02): : 821 - 834
  • [9] Resource-Efficient Neural Networks for Embedded Systems
    Roth, Wolfgang
    Schindler, Guenther
    Klein, Bernhard
    Peharz, Robert
    Tschiatschek, Sebastian
    Froening, Holger
    Pernkopf, Franz
    Ghahramani, Zoubin
    JOURNAL OF MACHINE LEARNING RESEARCH, 2024, 25 : 1 - 51
  • [10] Latency-Aware Resource-Efficient Virtual Network Embedding in Software Defined Networking
    Yan, Zihui
    Wei, Ning
    Jin, Qizhen
    Zhou, Xiaobo
    2019 28TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC), 2019, : 82 - 86