Abstract
Today's monitoring tools and web application middleware offer very limited support for detailed performance analysis of HTTP request-based, multi-tier web applications. They measure resource usage system-wide or per command name, but are unable to isolate usage per action specific to the target application1. This inability has several causes: First, many HTTP requests are executed by one application or script simultaneously, making it hard to isolate them. Second, it is difficult to monitor at the granularity of a thread, while efficient web servers and database servers implement threadbased process models. Third, different types of actions are often handled by one application or script, hindering typebased distinction. Finally, existing tools are often intervalbased, consequently missing short-lived processes that live between two capturing points. The same limitations apply to measuring individual SQL queries. In addition, SQL queries cannot be backtracked to the HTTP request that triggered them, even though they frequently turn out to be the cause of long end-to-end response times. This paper describes a preliminary solution that addresses these problems and enables us to measure resource consumption and database interaction for individual actions, in real-time and under load, with minimal effort from the web application developer.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 |
| Pages | 166-173 |
| Number of pages | 8 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 - Vancouver, BC Duration: 2009 Aug 29 → 2009 Aug 31 |
Other
| Other | 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 |
|---|---|
| City | Vancouver, BC |
| Period | 09/8/29 → 09/8/31 |
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ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Software
Cite this
Mbrace : Action-based performance monitoring of multi-tierweb applications. / Van Der Zee, Andrej; Courbot, Alexandre; Nakajima, Tatsuo.
Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. Vol. 2 2009. p. 166-173 5284278.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mbrace
T2 - Action-based performance monitoring of multi-tierweb applications
AU - Van Der Zee, Andrej
AU - Courbot, Alexandre
AU - Nakajima, Tatsuo
PY - 2009
Y1 - 2009
N2 - Today's monitoring tools and web application middleware offer very limited support for detailed performance analysis of HTTP request-based, multi-tier web applications. They measure resource usage system-wide or per command name, but are unable to isolate usage per action specific to the target application1. This inability has several causes: First, many HTTP requests are executed by one application or script simultaneously, making it hard to isolate them. Second, it is difficult to monitor at the granularity of a thread, while efficient web servers and database servers implement threadbased process models. Third, different types of actions are often handled by one application or script, hindering typebased distinction. Finally, existing tools are often intervalbased, consequently missing short-lived processes that live between two capturing points. The same limitations apply to measuring individual SQL queries. In addition, SQL queries cannot be backtracked to the HTTP request that triggered them, even though they frequently turn out to be the cause of long end-to-end response times. This paper describes a preliminary solution that addresses these problems and enables us to measure resource consumption and database interaction for individual actions, in real-time and under load, with minimal effort from the web application developer.
AB - Today's monitoring tools and web application middleware offer very limited support for detailed performance analysis of HTTP request-based, multi-tier web applications. They measure resource usage system-wide or per command name, but are unable to isolate usage per action specific to the target application1. This inability has several causes: First, many HTTP requests are executed by one application or script simultaneously, making it hard to isolate them. Second, it is difficult to monitor at the granularity of a thread, while efficient web servers and database servers implement threadbased process models. Third, different types of actions are often handled by one application or script, hindering typebased distinction. Finally, existing tools are often intervalbased, consequently missing short-lived processes that live between two capturing points. The same limitations apply to measuring individual SQL queries. In addition, SQL queries cannot be backtracked to the HTTP request that triggered them, even though they frequently turn out to be the cause of long end-to-end response times. This paper describes a preliminary solution that addresses these problems and enables us to measure resource consumption and database interaction for individual actions, in real-time and under load, with minimal effort from the web application developer.
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U2 - 10.1109/CSE.2009.219
DO - 10.1109/CSE.2009.219
M3 - Conference contribution
AN - SCOPUS:70749114644
SN - 9780769538235
VL - 2
SP - 166
EP - 173
BT - Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
ER -