Resource Defragmentation for Network Slicing

被引:1
|
作者
Medagliani, Paolo [1 ]
Martin, Sebastien [1 ]
Leguay, Jeremie [1 ]
Cai, Shengming [1 ]
Zeng, Feng [1 ]
Huin, Nicolas [2 ]
机构
[1] Huawei Technol Co Ltd, Shenzhen, Peoples R China
[2] IMT Atlantique, IRISA, Cesson Sevigne, France
关键词
Resource Allocation; Network Slicing; Network Virtualization; Combinatorial Optimization;
D O I
10.1109/INFOCOMWKSHPS54753.2022.9797986
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Network automation in the fifth generation of mobile networks (5G) requires network slices to be efficiently computed and deployed. In order to guarantee physical isolation for virtual networks and no interference between different slices, it is possible to rely on hard slicing, whose principles can be implemented using Flex Ethernet (FlexE) technology. As slices are created and deleted over time, it is necessary from time to time to defragment resources and reoptimize bandwidth reservations for the remaining slices. In this demo, we present our algorithmic framework, based on Column Generation, and we showcase how to efficiently defragment the network in order to reduce the Maximum Link Utilization (MLU) of current reservations with a minimum number of configuration changes.
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Deep Reinforcement Learning for Resource Management in Network Slicing
    Li, Rongpeng
    Zhao, Zhifeng
    Sun, Qi
    I, Chih-Lin
    Yang, Chenyang
    Chen, Xianfu
    Zhao, Minjian
    Zhang, Honggang
    IEEE ACCESS, 2018, 6 : 74429 - 74441
  • [22] Radio Resource Provisioning for Network Slicing with Coverage Constraints
    Quang-Trung Luu
    Kerboeuf, Sylvaine
    Mouradian, Alexandre
    Kieffer, Michel
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [23] Capacity Planning for Virtual Resource Management in Network Slicing
    Challa, Rajesh
    Raza, Syed M.
    Choo, Hyunseung
    Kim, Siwon
    PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM) 2019, 2019, 935 : 141 - 152
  • [24] Machine Learning for Network Slicing Resource Management:A Comprehensive Survey
    HAN Bin
    Hans D.SCHOTTEN
    ZTE Communications, 2019, 17 (04) : 27 - 32
  • [25] Dynamic Resource Allocation in Network Slicing with Deep Reinforcement Learning
    Cai, Yue
    Cheng, Peng
    Chen, Zhuo
    Xiang, Wei
    Vucetic, Branka
    Li, Yonghui
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 2955 - 2960
  • [26] Deep Reinforcement Learning for Resource Allocation with Network Slicing in Cognitive Radio Network*
    Yuan, Siyu
    Zhang, Yong
    Qie, Wenbo
    Ma, Tengteng
    Li, Sisi
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2021, 18 (03) : 979 - 999
  • [27] Dynamic Network Slicing Resource Deployment Algorithm in Vehicular Networks
    Li, Xiaohui
    Zhou, Yuanyuan
    Lyu, Siting
    Su, Jianan
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2024, 47 (04): : 124 - 129
  • [28] A Coverage-Aware Resource Provisioning Method for Network Slicing
    Luu, Quang-Trung
    Kerboeuf, Sylvaine
    Mouradian, Alexandre
    Kieffer, Michel
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 28 (06) : 2393 - 2406
  • [29] Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
    Cai, Yue
    Cheng, Peng
    Chen, Zhuo
    Ding, Ming
    Vucetic, Branka
    Li, Yonghui
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 23 (06) : 7099 - 7116
  • [30] Radio Access Network Resource Slicing for Flexible Service Execution
    Chang, Chia-Yu
    Nikaein, Navid
    Spyropoulos, Thrasyvoulos
    IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2018, : 668 - 673