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GLOBAL ANALYSIS AND MODELING ON DECENTRALIZED INTERNET
by
Xue Cai
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
May 2014
Copyright 2014 Xue Cai
Object Description
| Title | Global analysis and modeling on decentralized Internet |
| Author | Cai, Xue |
| Author email | cher.xue.cai@gmail.com;cher.xue.cai@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science (Computer Networks) |
| School | Viterbi School of Engineering |
| Date defended/completed | 2013-12-03 |
| Date submitted | 2014-01-29 |
| Date approved | 2014-01-29 |
| Restricted until | 2014-01-29 |
| Date published | 2014-01-29 |
| Advisor (committee chair) | Heidemann, John |
| Advisor (committee member) |
Govindan, Ramesh Ortega, Antonio Willinger, Walter |
| Abstract | Better understanding about Internet infrastructure is crucial to improve the reliability, performance, and security of Web services. The need for this understanding then drives research in network measurements. Internet measurements explore a variety of data related to a specific topic and then develop approaches to transform data into useful understanding about the topic. This process is not straightforward since available data often only contains indirect information that may appear to have limited connection to the topic. ❧ This body of work asserts that systematic approaches can overcome data limitations to improve understanding about important aspects of the Internet infrastructure. We demonstrate the validity of our thesis statement by providing three specific examples that develop novel approaches and provide novel understanding compared to prior work. In particular, we employ four systematic approaches—statistical, clustering, modeling, and what‐if approach—to understand three important aspects of the Internet: the efficiency and management of IPv4 addresses, the ownership of Autonomous Systems (ASes), and the robustness of Web services when facing critical facility disruption. These approaches have addressed a variety of challenges posed by indirect, incomplete, over‐fit, noisy and unknown data; they in turn enable us to improve understanding about the Internet. ❧ Each of our three studies explores a different area of the problem space and opens a much larger area of opportunity. The data limitations addressed by our approaches also occur in many other problems. We believe our approaches can inspire future work to solve these problems and in turn provide more useful understanding about the Internet. |
| Keyword | Internet; analysis; modeling; measurement |
| Language | English |
| Format (imt) | application/pdf |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Contributing entity | University of Southern California |
| Rights | Cai, Xue |
| Access conditions | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@usc.edu |
| Filename | etd-CaiXue-2236.pdf |
| Archival file | uscthesesreloadpub_Volume8/etd-CaiXue-2236.pdf |
Description
| Title | Page 1 |
| Full text | GLOBAL ANALYSIS AND MODELING ON DECENTRALIZED INTERNET by Xue Cai A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) May 2014 Copyright 2014 Xue Cai |
