Journal article
Fundamental tradeoffs in distributed algorithms for rate adaptive multimedia streams
Computer networks (Amsterdam, Netherlands : 1999), v 52(6), pp 1238-1251
24 Apr 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Rate adaptive multimedia streams adjust the encoding rate dynamically (with corresponding changes in media content resolution) in response to changing levels of congestion along the route. The field of optimization based congestion control has yielded sophisticated distributed algorithms for resource allocation among competing elastic streams. In this work we study the fundamental tradeoffs for a class of optimization based distributed algorithms for rate adaptive streams. We focus on three tradeoffs: (i) the tradeoff between maximizing client average quality of service (QoS) and client fairness, (ii) the tradeoff between granularity of control (both temporal and spatial) and QoS, and (iii) the tradeoff between maximizing the received volume and minimizing the fluctuations in received rate. We illustrate these tradeoffs through extensive ns-2 simulations on two distinct topologies - (i) a single bottleneck like and (ii) a linear network. (C) 2008 Elsevier B.V. All rights reserved.
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Details
- Title
- Fundamental tradeoffs in distributed algorithms for rate adaptive multimedia streams
- Creators
- Vilas Veeraraghavan - Drexel UniversitySteven Weber - Drexel University
- Publication Details
- Computer networks (Amsterdam, Netherlands : 1999), v 52(6), pp 1238-1251
- Publisher
- Elsevier
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000255471600008
- Scopus ID
- 2-s2.0-40849083447
- Other Identifier
- 991019167708704721
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Information Systems
- Engineering, Electrical & Electronic
- Telecommunications