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Harpoon: a flow-level traffic generator for router and network tests

Authors:

Joel Sommers,

Hyungsuk Kim,

Paul BarfordAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 32, Issue 1

Page 392

https://doi.org/10.1145/1012888.1005733

Published: 01 June 2004 Publication History

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Abstract

We describe Harpoon, a new application-independent tool for generating representative packet traffic at the IP flow level. Harpoon is a configurable tool for creating TCP and UDP packet flows that have the same byte, packet, temporal, and spatial characteristics as measured at routers in live environments. We validate Harpoon using traces collected from a live router and then demonstrate its capabilities in a series of router performance benchmark tests.

References

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A. Tirumala, F. Qin, J. Dugan, J. Ferguson, and K. Gibbs. Iperf 1.7.0 -- the TCP/UDP bandwidth measurement tool. http://dast.nlanr.net/Projects/Iperf, 2004.

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[2]

P. Barford and M. Crovella. Generating representative workloads for network and server performance evaluation. In Proceedings of ACM SIGMETRICS '98, pages 151--160, Madison, WI, June 1998.

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[3]

Cisco's IOS Netflow feature. http://www.cisco.com/warp/public/732/netflow, 2004.

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Zhang SLi TJin DLi Y(2024)NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace GenerationProceedings of the ACM on Networking10.1145/36768702:CoNEXT3(1-21)Online publication date: 21-Aug-2024
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Chu AJiang XLiu SBhagoji ABronzino FSchmitt PFeamster N(2024)Feasibility of State Space Models for Network Traffic GenerationProceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing10.1145/3672198.3673792(9-17)Online publication date: 4-Aug-2024
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Kong ZHu NHu YMeng JKoral YVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain KnowledgeProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688422(530-544)Online publication date: 4-Nov-2024
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Harpoon: a flow-level traffic generator for router and network tests

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Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 32, Issue 1

June 2004

432 pages

ISSN:0163-5999

DOI:10.1145/1012888

Issue’s Table of Contents

SIGMETRICS '04/Performance '04: Proceedings of the joint international conference on Measurement and modeling of computer systems
June 2004
450 pages
ISBN:1581138733
DOI:10.1145/1005686
General Chair:
E. G. Coffman
Columbia University
,
Program Chairs:
Zhen Liu
IBM Research
,
Arif Merchant
HP Labs

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2004

Published in SIGMETRICS Volume 32, Issue 1

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https://dl.acm.org/doi/10.1145/3676870
Chu AJiang XLiu SBhagoji ABronzino FSchmitt PFeamster N(2024)Feasibility of State Space Models for Network Traffic GenerationProceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing10.1145/3672198.3673792(9-17)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3672198.3673792
Kong ZHu NHu YMeng JKoral YVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain KnowledgeProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688422(530-544)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688422
Jiang XLiu SGember-Jacobson ABhagoji ASchmitt PBronzino FFeamster N(2024)NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic GenerationProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36390378:1(1-32)Online publication date: 21-Feb-2024
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