End-to-End Elimination of Traffic Elimination Using Self-Adaptive Prediction Model in Cloud

2021 ◽  
Author(s):  
K.M. Umamaheswari ◽  
M. Sivaram ◽  
V. Manikandan ◽  
K. Batri ◽  
P. Saranya ◽  
...  
Keyword(s):  
Prediction Model ◽  
Adaptive Prediction ◽  
End To End ◽  
Self Adaptive

scholarly journals Adaptive Prediction Model in Prospective Molecular Signature–Based Clinical Studies

2013 ◽  
Vol 20 (3) ◽  
pp. 531-539 ◽  
Author(s):  
Guanghua Xiao ◽  
Shuangge Ma ◽  
John Minna ◽  
Yang Xie
Keyword(s):  
Prediction Model ◽  
Clinical Studies ◽  
Molecular Signature ◽  
Adaptive Prediction

scholarly journals A Novel Self-Adaptive Wind Speed Prediction Model Considering Atmospheric Motion and Fractal Feature

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 215892-215903
Author(s):  
Ji Jin ◽  
Bin Wang ◽  
Min Yu ◽  
Jiang Liu ◽  
Wenbo Wang
Keyword(s):  
Wind Speed ◽  
Prediction Model ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
Atmospheric Motion ◽  
Self Adaptive

scholarly journals A Novel QoS Framework Based on Admission Control and Self-Adaptive Bandwidth Reconfiguration

2010 ◽  
Vol 5 (5) ◽  
pp. 862 ◽  
Author(s):  
Adrian Peculea ◽  
Bogdan Iancu ◽  
Vasile Dadarlat ◽  
Iosif Ignat
Keyword(s):  
Admission Control ◽  
Traffic Load ◽  
Bandwidth Reservation ◽  
Qos Guarantees ◽  
Long Time ◽  
End To End ◽  
Adaptive Bandwidth ◽  
Dynamic Bandwidth ◽  
Self Adaptive

This paper proposes a novel end-to-end QoS framework, called Self-Adaptive bandwidth Reconfiguration QoS framework (SAR). SAR provides end-to-end QoS guarantees on a per-flow basis through admission control and end-to-end bandwidth reservation. In order to adapt to short and long time traffic load changing, SAR performs dynamic bandwidth reconfiguration. Due to a new organization of the network physical lines, SAR allows for a better utilization of the links’ capacity and a smaller number of rejected flows, increasing the network’s availability.

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