By Topic

Method of estimating of end-to-end performance distribution using conventional managed objects

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Ori, K. ; Service Integration Labs., NTT, Tokyo, Japan

Demands for high-quality inexpensive IP networks are exploding these days. In order to provide satisfaction (i.e., a cost-effective network) to users, network managers should know the end-to-end performance. Moreover some applications permit occasional degradation of performance if it makes the service cheaper Thus, it is important to know the probability distribution of the end-to-end performance, e.g., the 10%ile. The methods of determining the end-to-end performance are classified into three groups: 'Measuring methods', 'Calculating methods', and 'Combined methods'. This paper proposes a new 'combined method' of estimating the probability distribution of the end-to-end performance using (i) managed objects (MOs) collected in conventional IP network management and (ii) the mapping between the MOs and the end-to-end performance obtained by analyzing their values measured beforehand This method can estimate the probability distribution of the end-to-end performance, so a flexible threshold can be made. In daily management, this method only needs to collect conventional MOs, so it does not generate extra traffic or affect the other traffic. Variable selection is introduced into regression analysis and it can find a bottleneck in the measurement path

Published in:

Applications and the Internet (SAINT) Workshops, 2002. Proceedings. 2002 Symposium on

Date of Conference:

2002