ClusVNFI: A Hierarchical Clustering-Based Approach for Solving VNFI Dilemma in NFV Orchestration

被引:3
|
作者
Chen, Jing [1 ]
Chen, Jia [1 ]
Hu, Renkun [1 ]
Zhang, Hongke [1 ]
机构
[1] Beijing Jiaotong Univ, Dept Elect & Informat Engn, Beijing 100044, Peoples R China
关键词
Clustering; orchestration; multi-objective; VNFI; hierarchical; SERVICE; OPTIMIZATION; PLACEMENT;
D O I
10.1109/ACCESS.2019.2956502
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 functions virtualization (NFV) is becoming a prevailing design for future Internet by migrating network functions from dedicated hardware appliances to software instances running in virtual computing platforms. NFV resource allocation approaches can dynamically instantiate network functions by using virtualized network functions (VNFs) to satisfy various quality-of-service (QoS) requirements with minimum network costs. The operator can launch a new VNF instance (VNFI) for each VNF required for flows, or assign it to the established VNFI. This makes NFV orchestration (NFVO) even more complicated. In addition, the challenges of developing NFVO scheme include how to manage the dependency between VNFs placement (network-level) and routing of flows (flow-level) through ordered VNFs, and how to efficiently utilize the available network resources. In this paper, ClusVNFI, a hierarchical resource allocation approach based on clustering, is proposed to address these challenges. To be specific, VNFs are proposed to be clustered based on their correlation. Then VNFs belonging to the same cluster are inclined to be deployed on one node to reduce the occupied link bandwidth. Moreover, network nodes are clustered based on the similarity on end-to-end flow latency information. Accordingly, flows in the same cluster intend to share the instantiated VNFIs, aiming at improving VNFI utilization while avoiding path stretch. By capturing the dependency between network-level and flow-level through clustering, ClusVNFI can achieve the tradeoff among multiple objectives including maximizing the number of admitted flows, minimizing path stretch, and improving VNFI utilization. Extensive simulation results show that the proposed ClusVNFI can balance multiple objectives comparing with other typical heuristic algorithms. Moreover, ClusVNFI can reduce network resource occupation effectively, while guaranteeing the average delay and network hops.
引用
收藏
页码:173257 / 173272
页数:16
相关论文
共 50 条
  • [31] A Hierarchical Clustering-Based Spatial Cloaking Algorithm for Location-Based Services
    Lee, Jaeheung
    Kim, Seokhyun
    Cho, Yookun
    Chung, Yoojin
    Park, Yongsu
    JOURNAL OF INTERNET TECHNOLOGY, 2012, 13 (04): : 645 - 653
  • [32] A hierarchical clustering-based spatial cloaking algorithm for location-based services
    Park, Y. (yongsu@hanyang.ac.kr), 2012, Taiwan Academic Network Management Committee (13):
  • [33] A Sybil Attack Detection Scheme for a Centralized Clustering-based Hierarchical Network
    Jan, Mian Ahmad
    Nanda, Priyadarsi
    He, Xiangjian
    Liu, Ren Ping
    2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 1, 2015, : 318 - 325
  • [34] A Dynamic Clustering-Based Hierarchical Federated Learning Scheme in Internet of Vehicles
    Wen, Lihang
    Qi, Weijing
    Lin, Yufeng
    Song, Qingyang
    Guo, Lei
    Jamalipour, Abbas
    IEEE Communications Letters, 2024, 28 (12) : 2935 - 2939
  • [35] A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection
    Zhou, Shenghao
    Chen, Ze
    Li, Qi
    Gu, Mengjun
    Bao, Zhoucheng
    He, Wenda
    Sheng, Weiguo
    IEEE ACCESS, 2023, 11 : 2557 - 2569
  • [36] A Genetics Clustering-based Approach for Weblog Data Cleaning
    Ganibardi, Amine
    Ali, Cherif Arab
    2018 SIXTH INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES 2018), 2018, : 75 - 81
  • [37] Graph clustering-based discretization approach to microarray data
    Kittakorn Sriwanna
    Tossapon Boongoen
    Natthakan Iam-On
    Knowledge and Information Systems, 2019, 60 : 879 - 906
  • [38] Hierarchical Clustering-Based Framework for Interconnected Power System Contingency Analysis
    Hemad, Bassam A.
    Ibrahim, Nader M. A.
    Fayad, Shereen A.
    Talaat, Hossam E. A.
    ENERGIES, 2022, 15 (15)
  • [39] A Clustering-Based Approach to Analyse Examinations for Diabetic Patients
    Bruno, Giulia
    Cerquitelli, Tania
    Chiusano, Silvia
    Xiao, Xin
    2014 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2014, : 45 - 50
  • [40] A Novel Clustering-Based Approach of Indoor Location Fingerprinting
    Lee, Chung-Wei
    Lin, Tsung-Nan
    Fang, Shih-Hau
    Chou, Yen-Chih
    2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 3191 - 3196