FINT: Flexible In-band Network Telemetry method for data center network

被引:6
|
作者
Xie, Shengxu [1 ]
Hu, Guyu [1 ]
Xing, Changyou [1 ]
Zu, Jiachen [1 ]
Liu, Yaqun [1 ]
机构
[1] Army Engn Univ PLA, Command & Control Engn Coll, Nanjing 210007, Peoples R China
基金
中国国家自然科学基金;
关键词
In-band Network Telemetry; Programmable data plane; Data center network;
D O I
10.1016/j.comnet.2022.109232
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
By embedding the state data maintained by the programmable data plane into user packets, the In-band Network Telemetry (INT) can greatly improve the freshness of measured data, such as capturing the micro -bursts in data center networks. However, because the existing INT schemes use fixed telemetry tasks and metadata adding strategies, INT cannot be adjusted in time according to the network state, thus lacking flexibility. To solve the above problems, we propose a Flexible In-band Network Telemetry method FINT. With the designed triple bitmap mechanism, telemetry tasks and parameters can be set dynamically at runtime, which providing flexibility without redeployment to improve telemetry efficiency and reduce the impact of telemetry on network performance. With the designed flexible INT field structure, the types of telemetry metadata carried by user packets can be flexibly selected without significantly adding the indication field. Based on this, to meet the limitation of packet length and reduces the impact on the flow completion time, a greedy telemetry metadata selection algorithm MSG is designed to preferentially select the telemetry metadata with maximum bit-width among the remaining telemetry metadata. The experimental results show that FINT is flexible in adjusting telemetry tasks and add telemetry metadata, and effectively reduce the average flow completion time of the mice flow carrying INT data in the network without significantly increasing the bandwidth consumption.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] FindINT: Detect and Locate the Lost in-Band Network Telemetry Packet
    Tan, Lizhuang
    Su, Wei
    Miao, Jingying
    Zhang, Wei
    IEEE Networking Letters, 2022, 4 (01): : 20 - 24
  • [42] SPT: sketch-based polling in-band network telemetry
    Cui, Mingwei
    Li, Xiao
    Wang, Ying
    Niu, Tianyuan
    Yang, Fan
    PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022, 2022,
  • [43] Orchestrating In-Network Aggregation for Distributed Machine Learning via In-Band Network Telemetry
    Ji, Ming-Tao
    Jin, Yi-Bo
    Qian, Zhu-Zhong
    Cao, Tuo
    Ye, Bao-Liu
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2025, 40 (01) : 196 - 214
  • [44] Low-cost Network Measurement Through Intelligent In-band Network Telemetry Orchestration
    Wu, Tong
    Yao, Haipeng
    He, Wenji
    Wang, Zunliang
    Mai, Tianle
    Xiong, Zehui
    Guo, Song
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 4326 - 4331
  • [45] An optimization-based approach for efficient network monitoring using in-band network telemetry
    Marques, Jonatas Adilson
    Luizelli, Marcelo Caggiani
    Tavares da Costa Filho, Roberto Iraja
    Gaspary, Luciano Paschoal
    JOURNAL OF INTERNET SERVICES AND APPLICATIONS, 2019, 10
  • [46] IntOpt: In-band Network Telemetry Optimization for NFV Service Chain Monitoring
    Bhamare, Deval
    Kassler, Andreas
    Vestin, Jonathan
    Khoshkholghi, Mohammad Ali
    Taheri, Javid
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [47] Adaptive Transport Layer Protocols using In-band Network Telemetry and eBPF
    Bhat, Ramyashree Venkatesh
    Haxhibeqiri, Jetmir
    Moerman, Ingrid
    Hoebeke, Jeroen
    2021 17TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2021), 2021, : 241 - 246
  • [48] Using Machine Learning and In-band Network Telemetry for Service Metrics Estimation
    de Almeida, Leandro C.
    Pasquini, Rafael
    Verdi, Fabio L.
    2021 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (IEEE CLOUDNET), 2021, : 33 - 39
  • [49] OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry
    Qian, Mimi
    Cui, Lin
    Tso, Fung Po
    Deng, Yuhui
    Jia, Weijia
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 17 (03) : 1072 - 1083
  • [50] Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning
    Jin, Yibo
    Jiao, Lei
    Ji, Mingtao
    Qian, Zhuzhong
    Zhang, Sheng
    Chen, Ning
    Lu, Sanglu
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2023, 31 (05) : 2313 - 2328