Open this publication in new window or tab >>2001 (English)In: Quality of Service - IWQoS 2001: 9th International Workshop Karlsruhe, Germany, June 6-8, 2001 Proceedings / [ed] Lars Wolf, Berlin: Springer , 2001, p. 372-386Conference paper, Published paper (Refereed)
Abstract [en]
Recent extensions to the Internet architecture allow assignment of different levels of drop precedence to IP packets. This paper examines differentiation predictability and implementation complexity in creation of proportional lossrate (PLR) differentiation between drop precedence levels. PLR differentiation means that fixed loss-rate ratios between different traffic aggregates are provided independent of traffic loads. To provide such differentiation, running estimates of loss-rates can be used as feedback to keep loss-rate ratios fixed at varying traffic loads. In this paper, we define a loss-rate estimator based on average drop distances (ADDs). The ADD estimator is compared with an estimator that uses a loss history table (LHT) to calculate loss-rates. We show, through simulations, that the ADD estimator gives more predictable PLR differentiation than the LHT estimator. In addition, we show that a PLR dropper using the ADD estimator can be implemented efficiently.
Place, publisher, year, edition, pages
Berlin: Springer, 2001
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 2092
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-35342 (URN)10.1007/3-540-45512-4_29 (DOI)2-s2.0-84937559038 (Scopus ID)9d88ab70-f111-11dc-ba03-000ea68e967b (Local ID)978-3-540-42217-4 (ISBN)9d88ab70-f111-11dc-ba03-000ea68e967b (Archive number)9d88ab70-f111-11dc-ba03-000ea68e967b (OAI)
Conference
International Workshop on Quality of Service : 06/06/2001 - 08/06/2001
Note
Validerad; 2001; 20080313 (ysko)2016-09-302016-09-302025-10-22Bibliographically approved