2009
DOI: 10.1109/tc.2008.197
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Differentiating Services with Noncongestive Queuing (NCQ)

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Cited by 24 publications
(26 citation statements)
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References 34 publications
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“…In our results, a value between 15-20% produces the expected outcome; as shown in [8] through extensive simulations, this is the worse-case scenario for UPNQ. We have shown in [7] that a small rate of packets can be serviced with zero impact on the performance of the flows sharing the same channel.…”
Section: Service Differentiation For Upnsmentioning
confidence: 99%
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“…In our results, a value between 15-20% produces the expected outcome; as shown in [8] through extensive simulations, this is the worse-case scenario for UPNQ. We have shown in [7] that a small rate of packets can be serviced with zero impact on the performance of the flows sharing the same channel.…”
Section: Service Differentiation For Upnsmentioning
confidence: 99%
“…In [7], we have shown that when the impact of the guest's queuing delay to the home-user (i.e., k) is below 5%, this is, in general, unnoticeable by the home-user's applications. That said, setting k ≈ 0.01 − 0.05 (i.e., 1% -5%) and regulating the rate of the guest's traffic (λ2) according to Equation 1 will have statistically no impact on the performance of the home-traffic (λ1).…”
Section: Service Differentiation For Upnsmentioning
confidence: 99%
“…Non-Congestive Queuing (NCQ) [21] assumes that non-congestive traffic cannot exceed a predetermined threshold, called ncqthresh, which represents the upper limit of permitted prioritized service. The threshold typically reflects a service percentage for prioritization.…”
Section: Non-congestive Queuing (Ncq)mentioning
confidence: 99%
“…The limitation is strictly associated with the cumulative service impact of prioritization on long packets. In [21][22][23]27] we have shown that, based on service thresholds, the service gains can be regulated for non-congestive applications, such as sensor applications or other types of applications that use small packets and rates, with almost-zero cost on congestive applications. Here, we apply the properties of LIBS one step beyond; we explore a differentiation scheme to satisfy better the delay requirements of VoIP applications.…”
mentioning
confidence: 99%
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