Predictive congestion control for broadband satellite systems

Author(s):  
Y. M. Jang ◽  
A. Ganz ◽  
J. F. Hayes
2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh

2001 ◽  
Vol 7 (4) ◽  
pp. 122-125
Author(s):  
V.N. Roman'ko ◽  
◽  
E.N. Khomyakov ◽  
S.T. Cherepkov ◽  
◽  
...  

2017 ◽  
Author(s):  
Tomaso de Cola ◽  
Alberto Ginesi ◽  
Giovanni Giambene ◽  
George C. Polyzos ◽  
Vasilios A. Siris ◽  
...  
Keyword(s):  

Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay.  Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.


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