MQCC: Maximum Queue Congestion Control for Multipath Networks with Blockage

2015 ◽  
Author(s):  
Scott Pudlewski ◽  
Brooke Shrader ◽  
Laura Herrera ◽  
Nathaniel M. Jones ◽  
Andrew P. Worthen
Keyword(s):  
Congestion Control ◽  
Multipath Networks

Optimal Congestion Control and Routing for Multipath Networks with Random Losses

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 313-334
Author(s):  
Shiyong Li ◽  
Wei Sun ◽  
Yaming Zhang ◽  
Yehua Chen
Keyword(s):  
Congestion Control ◽  
Multipath Networks

An Efficient Congestion Control Scheme for Data Using Tokens in Network

2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh
Keyword(s):  
Congestion Control ◽  
Control Scheme

Routing Optimization with Efficient Second Order Distributed Approach Using Congestion Control Rules

2017 ◽  
Vol 7 (7) ◽  
pp. 363
Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph
Keyword(s):  
Congestion Control ◽  
Second Order ◽  
Back Pressure ◽  
Order Method ◽  
Delay Performance ◽  
Routing Optimization ◽  
Distributed Approach ◽  
Control Rules ◽  
Primal Dual ◽  
Queue Stability

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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