The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Performance Measurement of Computer Networks
|
|
Author(s): Federico Montesino Pouzols (University of Seville, Spain), Angel Barriga Barros (University of Seville, Spain), Diego R. Lopez (RedIRIS, Spain)and Santiago Sánchez-Solano (CSIC - Scientific Research Council, Spain)
Copyright: 2008
Pages: 7
Source title:
Encyclopedia of Networked and Virtual Organizations
Source Author(s)/Editor(s): Goran D. Putnik (University of Minho, Portugal)and Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-59904-885-7.ch160
Purchase
|
Abstract
In this article, general findings about Internet traffic models are first reviewed, with emphasis on two important invariants or characteristics that are observed with some reproducibility and independently of the precise settings of the network under consideration: self-similarity and heavy-tail marginal distributions. Then metrics and measurement techniques and tools will be discussed. This article deals with generic network performance measurement systems and outlines models, measurement techniques and tools that measure performance at the network and transport layers and can thus be applied regardless of the application layer protocols being employed. These systems are useful for analyzing performance of any network application and are an important foundational tool for enabling advanced virtual organizations (Foster, Kesselman, & Tuecke, 2001). Note, however, that application-level (or specific application details aware) measurements are commonly needed to complement generic tools so as to achieve a clear understanding of overall applications performance, which cannot be synthesized from lower level data with ease (Andrews, Cao, & McGowan, 2006).
Related Content
|
Kumar Shalender, Babita Singla.
© 2024.
11 pages.
|
|
R. Akash, V. Suganya.
© 2024.
32 pages.
|
|
Prathmesh Singh, Arnav Upadhyaya, Nripendra Singh.
© 2024.
14 pages.
|
|
Arpan Anand, Priya Jindal.
© 2024.
13 pages.
|
|
Surjit Singha, K. P. Jaheer Mukthar.
© 2024.
26 pages.
|
|
M. Vaishali, V. Kiruthiga.
© 2024.
14 pages.
|
|
Ranjit Singha, Surjit Singha.
© 2024.
21 pages.
|
|
|