RIO configuration optimization for assured service in diffserv networks

In this paper, we propose a parameter optimization method for RIO (RED (random early detection) with in and out) scheme for sssured service (AS) in differentiated services (DiffServ). The RIO was proposed to use to ensure the expected capacity specified by the traffic profile. However, in order to o...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2009-11, Vol.55 (4), p.1968-1972
Main Authors: Joo, Yang-Ick, Hur, Kyeong, Kim, Jong-Kook, Eom, Doo-Seop, Lee, Yeonwoo
Format: Article
Language:English
Subjects:
Aggregates
and QoS
Assured Service
Bandwidth
Computer science education
Delay
Differentiated Services
Diffserv networks
Electronics
Heuristic
Internet
Links
Optimization
Optimization methods
Quality of service
RIO
Throughput
Traffic control
Traffic engineering
Traffic flow
Utilization
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Summary:In this paper, we propose a parameter optimization method for RIO (RED (random early detection) with in and out) scheme for sssured service (AS) in differentiated services (DiffServ). The RIO was proposed to use to ensure the expected capacity specified by the traffic profile. However, in order to optimize the QoS (quality of service) performance for the AS in DiffServ in terms of maximum tolerable latency, link utilization, etc., the RIO policy should be operated considerately. Therefore, in order to guarantee the maximum delay for each AS subclass in DiffServ, the proposed scheme differentiates the assigned bandwidth to each subclass efficiently. In addition, we propose a configuration method for the RIO and the admission control criterion considering the allocated bandwidth to each subclass and the corresponding buffer size to increase the throughput for the in-profile traffic and the link utilization. Simulation results show that the capacity for the AS can be effectively estimated by using the proposed method and the throughput for the in-profile traffic and the link utilization can be improved remarkably by applying the optimized RIO parameter set.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2009.5373757