2007
DOI: 10.1007/s11107-007-0093-y
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A feedback-based congestion control mechanism for labeled optical burst switched networks

Abstract: In this article we describe a feedback-based OBS network architecture in which core nodes send messages to source nodes requesting them to reduce their transmission rate on congested links. Within this framework, we introduce a new congestion control mechanism called congestion control with explicit reduction request (CCERQ). Through feedback signals, CCERQ proactively attempts to prevent the network from entering the congestion state. Basic building blocks and performance tradeoffs of CCERQ are the main focus… Show more

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Cited by 8 publications
(3 citation statements)
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“…Such schemes aim at limiting the amount of traffic sent to prevent the network from blocking. CAC schemes can be based on the analysis of the incoming flow [9], or can take their decision based on feedback received from other nodes [10].…”
Section: Congestion Control In Obs Networkmentioning
confidence: 99%
“…Such schemes aim at limiting the amount of traffic sent to prevent the network from blocking. CAC schemes can be based on the analysis of the incoming flow [9], or can take their decision based on feedback received from other nodes [10].…”
Section: Congestion Control In Obs Networkmentioning
confidence: 99%
“…Some approaches are based on the modification of signaling protocols [4,13,16] and also on burst preemption [6,10]. These approaches, however, may increase the end-to-end delay of high-priority bursts because of the extra offset introduced [12], and are also hard to implement in practice.…”
Section: Related Workmentioning
confidence: 99%
“…How to survive from failures becomes one of the primary objectives in OBS network design. There have been few works on OBS survivability [14][15][16]. While the restoration mechanism is demonstrated to deal with single-link failure for wavelength-routed OBS in [14], architecture for OBS 1+1 protection based on the multi-protocol label switching (MPLS) protection is developed in [15].…”
Section: Introductionmentioning
confidence: 99%