One Memory Access Sketch: a More Accurate and Faster Sketch for Per-flow Measurement

被引:0
|
作者
Zhou, Yang [1 ]
Liu, Peng [1 ]
Jin, Hao [1 ]
Yang, Tong [1 ,2 ]
Dang, Shoujiang [3 ,4 ]
Li, Xiaoming [1 ]
机构
[1] Peking Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
[2] NUDT, Collaborat Innovat Ctr High Performance Comp, Changsha, Hunan, Peoples R China
[3] Chinese Acad Sci, Natl Network New Media Engn Res Ctr, Inst Acoust, Beijing, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
关键词
COUNTER BRAIDS;
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
Sketch is a probabilistic data structure widely used for per-flow measurement in the real network. The key metrics of sketches for per-flow measurement are their memory usage, accuracy, and speed. There are a variety of sketches, but they cannot achieve both high accuracy and high speed at the same time given a fixed memory size. To address this issue, we propose a new sketch, namely the OM (One Memory) sketch. It achieves much higher accuracy than the state-of-the-art, and achieves close to one memory access and one hash computation for each insertion or query. The key methodology of our OM sketch is to leverage word constraint and fingerprint techniques based on a hierarchical structure. Extensive experiments based on real IP traces show that the accuracy is improved up to 10.64 times while the speed is improved up to 2.50 times, compared with the well-known CM sketch [1]. All the related source code has been released at GitHub [2].
引用
收藏
页数:6
相关论文
共 50 条
  • [21] An Accurate Network Measurement Framework Combining SVM With Sketch
    Wang, Bohui
    Liu, Ziang
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 89 - 95
  • [22] A New Method for Per-Flow Traffic Measurement
    Yoon, MyungKeun
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2011, E94B (08) : 2386 - 2389
  • [23] Cuckoo Counter: A Novel Framework for Accurate Per-Flow Frequency Estimation in Network Measurement
    Qi, Jiuhua
    Li, Wenjun
    Yang, Tong
    Li, Dagang
    Li, Hui
    2019 ACM/IEEE SYMPOSIUM ON ARCHITECTURES FOR NETWORKING AND COMMUNICATIONS SYSTEMS (ANCS), 2019,
  • [24] ChainSketch: An Efficient and Accurate Sketch for Heavy Flow Detection
    Huang, Jiawei
    Zhang, Wenlu
    Li, Yijun
    Li, Lin
    Li, Zhaoyi
    Ye, Jin
    Wang, Jianxin
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2023, 31 (02) : 738 - 753
  • [25] Novel per-flow traffic measurement algorithm
    Ren, Gaoming
    Xia, Jingbo
    Bai, Jun
    Chen, Zhen
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2015, 42 (05): : 125 - 132
  • [26] A per-flow measurement and estimation method for DiffServ implementations
    Veres, S.
    Ionescu, D.
    2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5, 2006, : 353 - +
  • [27] SketchINT: Empowering INT with TowerSketch for Per-flow Per-switch Measurement
    Yang, Kaicheng
    Li, Yuanpeng
    Liu, Zirui
    Yang, Tong
    Zhou, Yu
    He, Jintao
    Xue, Jing'an
    Zhao, Tong
    Jia, Zhengyi
    Yang, Yongqiang
    2021 IEEE 29TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP 2021), 2021,
  • [28] MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimation
    Lu, Jie
    Chen, Hongchang
    Zhang, Zhen
    WEB AND BIG DATA, PT I, APWEB-WAIM 2022, 2023, 13421 : 20 - 27
  • [29] Per-Flow Traffic Measurement Through Randomized Counter Sharing
    Li, Tao
    Chen, Shigang
    Ling, Yibei
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2012, 20 (05) : 1622 - 1634
  • [30] Near Optimal Network-wide Per-Flow Measurement
    Ben Basat, Ran
    Einziger, Gil
    Tayh, Bilal
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 1294 - 1295