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On the accurate identification of network paths having a common bottleneck
Muhammad Murtaza Yousaf1, Michael Welzl
1Punjab University College of Information Technology (PUCIT), University of the Punjab, Allama Iqbal (old) Campus, Lahore, Pakistan.
Thescientificworldjournal
|December 12, 2013
Summary
This study introduces a novel network bottleneck detection method using singular value decomposition (SVD) and one-way delays. The technique accurately identifies shared bottlenecks among network paths, improving network performance analysis.
Area of Science:
- Computer Science
- Network Engineering
- Data Analysis
Background:
- Identifying network bottlenecks is crucial for optimizing performance.
- Existing methods may require complex measurements or lack accuracy.
- Shared bottlenecks across multiple network paths pose a significant challenge.
Purpose of the Study:
- To develop a novel mechanism for detecting shared bottlenecks between end-to-end network paths.
- To leverage one-way delay measurements for bottleneck identification.
- To validate the proposed mechanism's accuracy and efficiency.
Main Methods:
- Utilized singular value decomposition (SVD), a linear algebraic technique.
- Employed one-way delays from network endpoints as primary input.
- Applied outlier detection methods to SVD results for cluster extraction.
Main Results:
- Successfully extracted clusters of network flows sharing common bottlenecks.
- Demonstrated high accuracy in bottleneck detection across various network topologies.
- Validated the mechanism's effectiveness under diverse network conditions.
Conclusions:
- The proposed SVD-based mechanism offers an accurate and efficient approach to detecting shared network bottlenecks.
- One-way delay measurements are sufficient for effective bottleneck identification.
- This technique enhances network performance monitoring and troubleshooting capabilities.
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