Download the full-sized PDF of Detecting And Diagnosing Web Application Performance Degradation In Real-Time At The Method Call LevelDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Detecting And Diagnosing Web Application Performance Degradation In Real-Time At The Method Call Level Open Access


Other title
web application
performance degradation detection
Type of item
Degree grantor
University of Alberta
Author or creator
Wang, Mengliao
Supervisor and department
Wong, Kenny (Computing Science)
Examining committee member and department
Wong, Kenny (Computing Science)
Bulitko, Vadim (Computing Science)
Musilek, Petr(Electrical and Computer Engineering)
Hoover, James (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
As e-commerce becomes more popular, the performance of enterprise web applications becomes an important and challenging issue. Unlike failures, performance degradation is more difficult for the administrator to observe. It also takes much time to locate the root cause because there are many possible performance bottlenecks including network I/O, resource starvation, source code mistakes and even high site requests. In this thesis, we propose a system which is able to detect and diagnose web application performance degradations at the method call level in real time. We also set four sensors on the web server to monitor web application conditions, and use the measurements as input in detection and diagnostic algorithms. We implement our system in Java and build a test bed using a pet store application. Our system is evaluated on the test bed and results are encouraging, showing that our approach outperforms a traditional detection approach.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 2163421
Last modified: 2015:10:12 10:48:04-06:00
Filename: mengliao_msc_thesis_final.pdf
Original checksum: dd963962d405edfb8329e46eb67e24b5
Well formed: true
Valid: true
Page count: 58
Activity of users you follow
User Activity Date