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  5. Vessel : a lightweight container for network analysis

Vessel : a lightweight container for network analysis

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Author(s)
Kini, Keertan
Advisor(s)
David D. Clark.
Alternative Title
Lightweight container for network analysis
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
TCP adaptation and retransmission strategies provide robust advantages by abstracting the development of applications on the Internet from the development of lower layers. However, the abstraction hides useful low-level information from researchers and administrators who could otherwise use the insights from the performance of TCP and lower layers to diagnose problems and improve TCP performance. Though common tools exist for manual analysis of TCP performance, some of these tools are outdated or arduous to easily use. The primary contribution of this thesis is Vessel, a tool to supplement existing tools with per-connection instrumentation, improving the ability to perform network analysis tests while providing sufficiently detailed information to identify differences with different tests. Vessel leverages the Extended Berkeley Packet Filter and Linux network namespaces. We demonstrate the utility of the tool by analyzing TCP flows associated with competing web-based speed measurement tests
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-61).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Persistent DSpace Link
http://hdl.handle.net/1721.1/113139
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