Contributions to Proceedings:
T. Gschwind, K. Eshghi, P. Garg, K. Wurster:
"WebMon: A Performance Profiler for Web Transactions";
in: "Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems",
issued by: IEEE;
We describe WebMon, a tool for correlated, transaction-oriented
peformance monitoring of web services. Data collected with WebMon can
be analyzed from a variety of perspectives: business, client,
transaction, or systems. Maintainers of web services can use such
analysis to better understand and manage the performance of their
services. Moreover, WebMon's data will enable the construction of
more accurate performance prediction models for web services.
Current web logging techniques create a log file per server, making it
difficult to correlate data from log files with respect to a given
transaction. Additionally, data about the quality of service
perceived by the client is missing entirely. WebMon overcomes these limitations by providing heterogenous instrumentation sensors and HTTP
cookie-based correlators. In this paper, we present the design and
implementation of WebMon and our experience in applying WebMon to an
HP Library web service.
Created from the Publication Database of the Vienna University of Technology.