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A measurement study of available bandwidth estimation tools
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Source Internet Measurement Conference archive
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement table of contents
Miami Beach, FL, USA
SESSION: Bandwidth table of contents
Pages: 39 - 44  
Year of Publication: 2003
ISBN:1-58113-773-7
Authors
Jacob Strauss  MIT Computer Science and Artificial Intelligence Laboratory
Dina Katabi  MIT Computer Science and Artificial Intelligence Laboratory
Frans Kaashoek  MIT Computer Science and Artificial Intelligence Laboratory
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 21,   Downloads (12 Months): 210,   Citation Count: 57
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ABSTRACT

Available bandwidth estimation is useful for route selection in overlay networks, QoS verification, and traffic engineering. Recent years have seen a surge in interest in available bandwidth estimation. A few tools have been proposed and evaluated in simulation and over a limited number of Internet paths, but there is still great uncertainty in the performance of these tools over the Internet at large.This paper introduces Spruce, a simple, light-weight tool for measuring available bandwidth, and compares it with two existing tools, IGI and Pathload, over 400 different Internet paths. The comparison focuses on accuracy, failure patterns, probe overhead, and implementation issues. The paper verifies the measured available bandwidth by comparing it to Multi-Router Traffic Grapher (MRTG) data and by measuring how each tool responds to induced changes in available bandwidth.The measurements show that Spruce is more accurate than Pathload and IGI. Pathload tends to overestimate the available bandwidth whereas IGI becomes insensitive when the bottleneck utilization is large.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  57

Collaborative Colleagues:
Jacob Strauss: colleagues
Dina Katabi: colleagues
Frans Kaashoek: colleagues