An SDN-based energy-aware traffic management mechanism

被引:0
|
作者
Alex B. Vieira
Wallace Nascimento Paraizo
Luciano Jerez Chaves
Luiz H. A. Correia
Edelberto Franco Silva
机构
[1] Universidade Federal de Juiz de Fora,Computer Science Department
[2] Universidade Federal de Lavras,Computer Science Department
来源
Annals of Telecommunications | 2022年 / 77卷
关键词
Green computing; Power consumption; Software-defined networking; Traffic management;
D O I
暂无
中图分类号
学科分类号
摘要
Green computing is a central theme in many computer science areas, including computer networks. Dynamic solutions that can properly adjust network resources can prevent infrastructure over-provision and mitigate power consumption during low-demand periods. In this work, we propose DTM (Dynamic mechanism for Traffic Management), an energy-aware dynamic mechanism for traffic management, built upon the SDN paradigm. DTM continuously monitors the use of network links to concentrate traffic and disconnect idle equipment without degrading the offered quality of service. Our simulations show that the mechanism can save up to 46% of energy, on average, in the links’ capacities of homogeneous and heterogeneous scenarios. In scenarios with average to high traffic demands, the mean energy savings are 36.72% and 17.86%, respectively. Compared to a well-known existing mechanism, our approach is up to 7% better for medium-demand scenarios, and approximately 4% better for high-demand scenarios.
引用
收藏
页码:139 / 150
页数:11
相关论文
共 50 条
  • [41] Testbed evaluation of a seamless handover mechanism for an SDN-based enterprise WLAN
    Sen, Arkadeep
    Sivalingam, Krishna M.
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2019, 44 (12):
  • [42] Latency-aware Topology Discovery in SDN-based Time-Sensitive Networks
    Mohammadi, Sanaz
    Colle, Didier
    Tavernier, Wouter
    PROCEEDINGS OF THE 2022 IEEE 8TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2022): NETWORK SOFTWARIZATION COMING OF AGE: NEW CHALLENGES AND OPPORTUNITIES, 2022, : 145 - 150
  • [43] A congestion-aware and robust multicast protocol in SDN-based data center networks
    Zhu, Tingwei
    Feng, Dan
    Wang, Fang
    Hua, Yu
    Shi, Qingyu
    Xie, Yanwen
    Wan, Yong
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 95 : 105 - 117
  • [44] An overview of QoS-aware load balancing techniques in SDN-based IoT networks
    Rostami, Mohammad
    Goli-Bidgoli, Salman
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2024, 13 (01):
  • [45] Energy Efficient and Reliable Maintenance for SDN-based Scheduled Wireless Networks
    Veisi, Farzad
    Montavont, Julien
    Theoleyre, Fabrice
    2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2024, : 513 - 518
  • [46] An EMD and ARMA-based network traffic prediction approach in SDN-based internet of vehicles
    Tian, Miao
    Sun, Chen
    Wu, Shaozhi
    WIRELESS NETWORKS, 2021,
  • [47] SDN-Based Distributed Mobility Management for 5G Networks
    Tien-Thinh Nguyen
    Bonnet, Christian
    Haerri, Jerome
    2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, 2016,
  • [48] SDNKeeper: Lightweight Resource Protection and Management System for SDN-based Cloud
    Leng, Xue
    Hou, Kaiyu
    Chen, Yan
    Bu, Kai
    Song, Libin
    2018 IEEE/ACM 26TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2018,
  • [49] SDN-BASED CONTAINER MANAGEMENT SCHEME WITH FLEXIBLY ADDRESSES ALLOCATION CAPABILITY
    Huang, Yaodong
    Huang, Xiaohong
    Zhang, Pei
    PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, : 1 - 5
  • [50] Traffic modeling and performance evaluation of SDN-based NB-IoT access network
    Chen, Xin
    Li, Zhuo
    Chen, Ying
    Du, Bing
    Zhang, Yongchao
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (16):