Proportional Differentiated Services for End-to-End Traffic Control

2005 ◽  
pp. 672-681
Author(s):  
Yong Jiang ◽  
Jianping Wu
Keyword(s):  
Traffic Control ◽  
Differentiated Services ◽  
End To End

Risk-balanced dimensioning and pricing of End-to-End differentiated services

2016 ◽  
Vol 254 (2) ◽  
pp. 644-655 ◽  
Author(s):  
Alexei A. Gaivoronski ◽  
Per-Jonny Nesse ◽  
Olav-Norvald Østerbo ◽  
Håkon Lønsethagen
Keyword(s):  
Differentiated Services ◽  
End To End

scholarly journals Proportional interactive buffer management and scheduling

2021 ◽  
Author(s):  
Yifan Peng
Keyword(s):  
Packet Loss ◽  
Buffer Management ◽  
Safety Margin ◽  
Differentiated Services ◽  
Feedback Mechanism ◽  
Queuing Systems ◽  
End To End ◽  
Time Critical ◽  
Packet Drop ◽  
Qos Metrics

The proportional differentiated services model has been gaining attention in recent years. Many effective algorithms have been proposed to provide delay and packet loss differentiated services to different traffic classes according to their pre-defined constraints. In this article, we propose three novel QoS mechanisms to enhance the control of class-based QoS. First, we introduce a Scheduling to Dropping feedback mechanism, which is called SDF model. The main usage of the SDF is to provide dynamic trade-off between different basic QoS metrics. SDF provide differentiated services based on both proportionality constraints and absolute constraints. We also introduces an additional feature called Adaptive Safety margin (ASM). Usually, The Earlier Due Date (EDD) [7] employs a fixed safety margin to pre-assign more bandwith for time-critical traffics. ASM can adaptively changes this margin according to the queuing length or packet head-drop rate of the time-critical traffics when the congestion happened. By employing ASM with SDF model, it is found that the total packet drop can greatly be reduced. Finally, we introduce two sorting methods, called one-sort and complete-sort scheme, for the queuing systems in the end-to-end QoS environment. By sorting the order of the packets in the queue based on their deadlines, we can reduce the probability of end-to-end deadline violation.

scholarly journals ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems

2021 ◽  
pp. 107847
Author(s):  
Yi Lin ◽  
Bo Yang ◽  
Linchao Li ◽  
Dongyue Guo ◽  
Jianwei Zhang ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Control Systems ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
End To End

Maintaining end-to-end throughput in a differentiated-services Internet

1999 ◽  
Vol 7 (5) ◽  
pp. 685-697 ◽  
Author(s):  
Wu-Chang Feng ◽  
D.D. Kandlur ◽  
D. Saha ◽  
K.G. Shin
Keyword(s):  
Differentiated Services ◽  
End To End
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