Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/77708
Title: On Flash Crowd Performance of Peer-Assisted File Distribution
Authors: CARBUNARU CRISTINA
Keywords: performance analysis, flash crowd, peer-assisted file distribution
Issue Date: 5-Dec-2013
Citation: CARBUNARU CRISTINA (2013-12-05). On Flash Crowd Performance of Peer-Assisted File Distribution. ScholarBank@NUS Repository.
Abstract: Given the growing popularity of peer-assisted file distribution in commercial applications, it is increasingly important to understand the performance of file distribution. File distribution systems often have to cope with extreme conditions, such as flash crowds. The objective of this thesis is to develop methods for understanding and predicting the performance of file distribution systems during flash crowds. Contrary to current assumption that peer bandwidth utilization is constant throughout the download process, our measurement study on PlanetLab shows three distinct phases in the utilization of peer bandwidth over the download time. Based on these measurement observations, we propose a general analytical approach to predict the download performance of a file under flash crowd conditions and demonstrate the robustness of our approach for a number of applications. As peers contribute their upload bandwidth to overall system capacity, these systems cope well with an increase in the number of peers downloading the file, independent of the peer upload bandwidth. In server provisioning, the model shows that the provisioned server capacity, and thus the cost, can be reduced by 40% by relaxing the download time by 10%. In protocol design, coupling our model results with measurements, we discovered that improving fairness can sometimes lead to transient starvation with significant performance degradation. This thesis concludes that achieving high peer bandwidth utilization is essential for scaling peer-assisted file distribution.
URI: http://scholarbank.nus.edu.sg/handle/10635/77708
Appears in Collections:Ph.D Theses (Open)

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