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author:

Liu, Hongyan (Liu, Hongyan.) [1] | Sun, Xi (Sun, Xi.) [2] | Chen, Xiang (Chen, Xiang.) [3] | Huang, Qun (Huang, Qun.) [4] | Zhang, Dong (Zhang, Dong.) [5] (Scholars:张栋) | Zhou, Haifeng (Zhou, Haifeng.) [6] | Wu, Chunming (Wu, Chunming.) [7] | Liu, Xuan (Liu, Xuan.) [8] | Khan, Muhammad Khurram (Khan, Muhammad Khurram.) [9]

Indexed by:

EI Scopus SCIE

Abstract:

Modern network measurement employs several measurement points in the substrate network. These points perform measurement tasks to measure traffic and report real-time events to monitoring servers in the control plane. These servers convert events to flow statistics and report them to network management applications, which require both low latency (i.e., collecting events within a limited time deadline) and high reliability (i.e., bounding the probability of event loss). However, existing solutions fail to satisfy the two requirements because they ignore the transmission latency and reliability when collecting events from measurement points to monitoring servers. In this paper, we propose Terra, a framework that aims to offer low-latency and reliable event collection. Terra provides a near-optimal heuristic that guides each measurement point to select monitoring servers to receive its events and corresponding network paths for transferring events with timeliness and reliability guarantee. We have implemented Terra on a 64 x 100 Gbps Tofino-based switch. We conduct testbed experiments to demonstrate the effectiveness of Terra in practice. The results indicate that Terra offers low-latency and reliable event collection while preserving high application-level accuracy.

Keyword:

Low latency Network measurement Reliability

Community:

  • [ 1 ] [Liu, Hongyan]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China
  • [ 2 ] [Chen, Xiang]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China
  • [ 3 ] [Wu, Chunming]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China
  • [ 4 ] [Sun, Xi]Zhejiang Univ, Coll Control Sci & Engn, Hangzhou, Peoples R China
  • [ 5 ] [Zhou, Haifeng]Zhejiang Univ, Coll Control Sci & Engn, Hangzhou, Peoples R China
  • [ 6 ] [Huang, Qun]Peking Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
  • [ 7 ] [Zhang, Dong]Fuzhou Univ, Coll Comp Sci & Big Data, Fuzhou, Peoples R China
  • [ 8 ] [Zhang, Dong]Fuzhou Univ, Zhicheng Coll, Fuzhou, Peoples R China
  • [ 9 ] [Liu, Xuan]Yangzhou Univ, Coll Informat Engn, Coll Artificial Intelligence, Yangzhou, Peoples R China
  • [ 10 ] [Liu, Xuan]Southeast Univ, Sch Comp Sci & Engn, Nanjing, Peoples R China
  • [ 11 ] [Khan, Muhammad Khurram]King Saud Univ, Ctr Excellence Informat Assurance CoEIA, Riyadh, Saudi Arabia

Reprint 's Address:

  • [Chen, Xiang]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China;;[Liu, Xuan]Yangzhou Univ, Coll Informat Engn, Coll Artificial Intelligence, Yangzhou, Peoples R China;;

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Source :

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

ISSN: 1084-8045

Year: 2024

Volume: 228

7 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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