Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2004
Abstract
he 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
End-to-end Measurements, Inference, Queueing Models
Discipline
Numerical Analysis and Scientific Computing
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
SIGMETRICS 2004/Performance 2004: Joint International Conference on Measurement and Modeling of Computer Systems, New York, June 12-16
Volume
32
First Page
408
Last Page
409
Identifier
10.1145/1012888.1005741
Publisher
ACM
City or Country
New York
Citation
WYNTER, Laura; XIA, Cathy H.; and ZHANG, Fan.
Parameter inference of queueing models for IT systems using end-to-end measurements. (2004). SIGMETRICS 2004/Performance 2004: Joint International Conference on Measurement and Modeling of Computer Systems, New York, June 12-16. 32, 408-409.
Available at: https://ink.library.smu.edu.sg/sis_research/10314
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/10.1145/1012888.1005741