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pcapstitch: a tool to collect singleton one-way delay and loss measurements
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/3719
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| Title: | pcapstitch: a tool to collect singleton one-way delay and loss measurements |
| Authors: | DaCosta, Daniel William |
| Keywords: | Software Engineering
Computer Science
pcapstitch |
| Issue Date: | May-2011 |
| Abstract: | Network measurement is an established engineering principle[1]. However, there are still some aspects that lack general tools for measurement. A simple, general tool to measure one-way tra c 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 di cult to measure, yet these measurements directly indicate network in
uenced 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 tra c). pcapstitch associates semantically equivalent packets in trace les collected from multiple observation points. Packets must be associated in this way because packets can be modi ed in transit. The only other tool with this capability known to this author is OpenIMP[2] which is a comprehensive measurement suite. It can measure many di erent 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 les. Simplicity, few dependencies, and operation consistent with the UNIX philosophy are advantages of using pcapstitch. |
| Description: | Thesis (M.S., Software engineering)--Drexel University, 2011. |
| URI: | http://hdl.handle.net/1860/3719 |
| Appears in Collections: | Drexel Theses and Dissertations
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