Effective Network-Wide Traffic Measurement: A Lightweight Distributed Sketch Deployment

Fuliang LI, Kejun GUO, Jiaxing SHEN, Xingwei WANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

Network measurement is critical for various network applications, but scaling measurement techniques to the network-wide level is challenging for existing sketch-based solutions. Centralized sketch deployment provides low resource usage but suffers from poor load balancing. In contrast, collaborative measurement achieves load balancing through flow distribution across switches but requires high resource usage. This paper presents a novel lightweight distributed deployment framework that overcomes the limitations above. First, our framework is lightweight such that it splits sketches into segments and allocates them across forwarding paths to minimize resource usage and achieve load balancing. This also enables per-packet load balancing by distributing computations across switches. Second, our framework is also optimized for load balancing by coordinating between flows and enabling finer-grained flow distribution. We evaluate the proposed framework on various network topologies and different sketch deployments. Results indicate our solution matches the load balancing of collaborative measurement while approaching the low resource usage of centralized deployment. Moreover, it achieves superior performance in per-packet load balancing, which is not considered in previous deployment policies. Our work provides efficient distributed sketch deployment to strike a balance between load balancing and resource usage enabling effective network-wide measurement.
Original languageEnglish
Title of host publicationIEEE INFOCOM 2024 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-190
Number of pages10
ISBN (Electronic)9798350383508
DOIs
Publication statusPublished - 12 Aug 2024
Event2024 IEEE Conference on Computer Communications, INFOCOM 2024 - Vancouver, BC, Canada, Vancouver, Canada
Duration: 20 May 202423 May 2024

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Conference

Conference2024 IEEE Conference on Computer Communications, INFOCOM 2024
Country/TerritoryCanada
CityVancouver
Period20/05/2423/05/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • distributed deployment
  • load balancing
  • network measurement
  • Sketch

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