Modeling and simulation of congestion control algorithmsJagannathan, S. RaviMatawie, Kenan M
We also address the congestion control issue becoming necessary to protect a B-IN during overload situations. Existing algorithms do not operate optimally with respect to important performance criteria such as responsiveness, efficiency and fairness. Here, we identify some of their shortcomings and ...
congestion windowThis Paper provides a study and review of existing congestion control algorithms in various types of homogenous and heterogeneous networks. To test the new methodology for the congestion and flow control we have used the two different discrete event simulation tools. The OPNET ...
## Agent parametersagent:"RL-CC may be trained with five agent types/algorithms:PPO, DQN, SUPERVISED, random, ADPG"agent_features:"features used as input to policy, choices:nack_ratio, cnp_ratio, bandwidth, bytes_sent,rtt_inflation, cur_rate, action, adpg_reward"history_length:"number of ...
With OMNeT++, experimenters can create their own models that target a specific type of experimentation (e.g., simulating the behavior of Active Queueing Management (AQM) algorithms, congestion control algorithms, and other protocols that involve traffic dynamics). OMNeT++ supports large-scale ...
Considering that it may not be possible to control the above mentioned variables (for example downstream condition) in the field, simulation provides an ideal alternative approach to evaluate the performance of ramp control algorithms over a range of values for those variables. Its uniqueness arises ...
More importantly, we propose two machine learning (ML) techniques, the unsupervised deep neural network (DNN) and deep Q-learning (DQL) algorithms and evaluate the performances of both algorithms compared to iteration-based optimization methods. The simulation results verify that both algorithms ...
The second version is SACK TCP, a conservative extension of Reno TCP modified to use the SACK option being proposed in the Internet Engineering Task Force (IETF). We describe the congestion control algorithms in our simulated implementation of SACK TCP and show that while selective acknowledgments ...
Though effective in theoretical simulation, the established traffic control models and optimization algorithms will result in model mismatch or even control strategy failure in actual application. However, they are commonly adopted in traffic signal control research, resulting in the unavailability of many...
Moreover, thelossisnot stableenough because, initially, the Reno algorithm needs todetermine the value of cwnd based on the network conditions. Therefore, at 15 seconds, there is an excessive cwnd, which leads to packet loss. The explanation also applies to other congestion control algorithms (...