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PDFOpen Access (License Unspecified), Open Access
Thesis
pcapstitch: a tool to collect singleton one-way delay and loss measurements
Master of Science (M.S.), Drexel University
May 2011
DOI:
https://doi.org/10.17918/etd-3719
Abstract
Network measurement is an established engineering principle. However, there are still some aspects that lack general tools for measurement. A simple, general tool to measure one-way traffic characteristics passively does not exist. Currently, measuring one-way delay and loss requires instrumented applications, estimation, complex infrastructure setup, or active measurement techniques. This makes one-way delay and packet loss difficult to measure, yet these measurements directly indicate network influenced application utility degradation. pcapstitch is a tool that collects singleton one-way delay and loss measurements. pcapstitch collects these measurements passively requiring no application instrumentation (i.e., it can be used with general network traffic). pcapstitch associates semantically equivalent packets in trace files collected from multiple observation points. Packets must be associated in this way because packets can be modified in transit. The only other tool with this capability known to this author is OpenIMP which is a comprehensive measurement suite. It can measure many different network characteristics both passively and actively. It relies on multiple independent software components, probes and a measurement controller. In contrast, pcapstitch has a simple setup and is designed solely to collect singleton one-way delay and loss measurements from trace files. Simplicity, few dependencies, and operation consistent with the UNIX philosophy are advantages of using pcapstitch.
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Details
- Title
- pcapstitch
- Creators
- Daniel William DaCosta - DU
- Contributors
- Spiros Mancoridis (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- College of Arts and Sciences; Drexel University; Mathematics
- Other Identifier
- 3719; 991014632727404721