Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2006
Abstract
As Information Technology (IT) matures and expands in the scope of available applications, IT systems increase at a fascinating rate in both size and complexity. For example, today, a typical Web service hosting center may have hundreds of nodes and dozens of different applications simultaneously running on it. Each of the nodes in turn has often multiple processors and layered caches. These nodes make use of both local and shared storage systems. The size and complexity of such systems make performance modeling much more difficult, if at all tractable. Detailed modeling, fine tuning and accurate analysis can be carried out only on very small IT systems or very small components in a system.
Keywords
IT system, Parameter inference, Queueing model
Discipline
Computer and Systems Architecture | Computer Engineering
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
Performance Evaluation
Volume
63
Issue
1
First Page
36
Last Page
60
ISSN
0166-5316
Identifier
10.1016/j.peva.2004.12.001
Publisher
Elsevier
Citation
WYNTER, Laura; XIA, Cathy H.; and ZHANG, Fan.
Parameter inference of queueing models for IT systems using end-to-end measurements. (2006). Performance Evaluation. 63, (1), 36-60.
Available at: https://ink.library.smu.edu.sg/sis_research/10256
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.peva.2004.12.001