Paper
27 July 2001 BIO: an alternative to RIO
Bahri Okuroglu, Sema Oktug
Author Affiliations +
Proceedings Volume 4524, Quality of Service over Next-Generation Data Networks; (2001) https://doi.org/10.1117/12.434356
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States
Abstract
RED (Random Early Detection) is the most popular active queue management algorithm, although it has some weaknesses. Recently, another active queue management algorithm, BLUE, was proposed and shown that it is more successful in controlling the queue length when high number of flows are active on ECN (Explicit Congestion Notification) capable networks. In this paper, RED and BLUE algorithms are evaluated for different levels of RTTs, with/without ECN support. It is shown that BLUE on ECN incapable networks is not as successful as on ECN capable networks. Differentiated Services architecture suggests that RIO (Red with In and Out) style queue management algorithms are to be used on each AF (Assured Forwarding) queue to offer different levels of services for different priorities at each AF class. Inspired of BLUE's success over RED on ECN capable networks, we developed a simple alternative to RIO, BIO (BLUE with In and Out). BIO, which runs two different BLUE algorithms for in and out packets, was expected to achieve lower loss rates while maximizing link utilization for high number of active flows on AF queues. However, due to the self-configuring architecture of the algorithm, it is observed that BIO marks packets too aggressively and degrades utilization. In this paper, the properties of BIO are also explained and the results obtained are justified.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahri Okuroglu and Sema Oktug "BIO: an alternative to RIO", Proc. SPIE 4524, Quality of Service over Next-Generation Data Networks, (27 July 2001); https://doi.org/10.1117/12.434356
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Cited by 4 scholarly publications.
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KEYWORDS
Atrial fibrillation

Algorithm development

Computer simulations

Network architectures

Internet

Detection and tracking algorithms

Binary data

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