Journal article
Flow-level QoS for a dynamic load of rate adaptive sessions sharing a bottleneck link
Computer networks (Amsterdam, Netherlands : 1999), v 51(8), pp 1981-1997
2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We consider the flow-level quality of service (QoS) seen by a dynamic load of rate adaptive sessions sharing a bottleneck link based on fair share bandwidth allocation. This is of interest both in considering wired networks supporting rate adaptive multimedia sessions and wireless networks supporting voice with rate adaptation to realize graceful degradation during congested periods. Two QoS metrics are considered: the time-average instantaneous utility of the allocated bandwidth, and the time-average of transition penalties associated with the changes in allocation seen by a flow. We present a simple model for rate adaptation, where (heterogeneous) flows can vary their rates within (different) ranges, and present closed-form results for these perceived flow-level QoS metrics. We then prove asymptotic results for large capacity systems exhibiting the salient features of rate adaptation in a dynamic network. Finally, we provide a concrete example, showing how the QoS seen by sessions with different degrees of adaptivity would vary under a natural fair bandwidth allocation policy.
Metrics
Details
- Title
- Flow-level QoS for a dynamic load of rate adaptive sessions sharing a bottleneck link
- Creators
- Steven Weber - Drexel UniversityGustavo de Veciana - Department of ECE, The University of Texas at Austin, Austin, TX 78712, United States
- Publication Details
- Computer networks (Amsterdam, Netherlands : 1999), v 51(8), pp 1981-1997
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000246260800007
- Scopus ID
- 2-s2.0-33947329332
- Other Identifier
- 991019167461904721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Information Systems
- Engineering, Electrical & Electronic
- Telecommunications