scholarly journals A Simple Mechanism for Throttling High-Bandwidth Flows

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Chia-Wei Chang ◽  
Bill Lin
Keyword(s):  
Active Queue Management ◽  
Low Complexity ◽  
Queue Management ◽  
Packet Dropping ◽  
Rate Estimation ◽  
Simple Mechanism ◽  
High Bandwidth ◽  
Heavy Hitter ◽  
Management Techniques

This letter presents BREATHe, a simple packet dropping scheme for identifying and throttling unresponsive or misbehaving high-bandwidth flows during times of congestion. BREATHe is different from the existing active queue management techniques in that it uses heavy-hitter set analysis to identify highbandwidth flows rather than sampling or rate estimation. Specifically, BREATHe uses heavy-hitter set analysis to detect highbandwidth flows that exceed some target rate and preferentially drop packets from these flows. We show that the proposed mechanism is effective at throttling high-bandwidth flows using a small amount of state and low-complexity operation.

scholarly journals Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions

2019 ◽  
Vol 9 (1) ◽  
pp. 359 ◽  
Author(s):  
Okokpujie Kennedy ◽  
Emmanuel Chukwu ◽  
Olamilekan Shobayo ◽  
Etinosa Noma-Osaghae ◽  
Imhade Okokpujie ◽  
...  
Keyword(s):  
Wireless Network ◽  
Transmission Control Protocol ◽  
Active Queue Management ◽  
Propagation Delay ◽  
Queue Management ◽  
Link Capacity ◽  
Congestion Control Algorithm ◽  
Fixed Parameter ◽  
Self Tuning ◽  
Management Techniques

This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard   controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying conditions using MATLAB® and Simulink® software. From the results obtained, the MPC controller gives the best result in terms of response time and controllability in a wireless network with varying link capacity and propagation delay. Thus, the MPC controller is the best bet when adaptive algorithms are to be employed in a wireless network environment. The MPC controller can also be recommended for heterogeneous networks where the network load cannot be estimated.

scholarly journals Active Queue Management Techniques for Congestion Control in TCP Communication Networks: New Prospective

2020 ◽  
Vol 9 (2S5) ◽  
pp. 73-77
Keyword(s):  
Communication Networks ◽  
Bandwidth Allocation ◽  
Network Performance ◽  
Computer Network ◽  
Active Queue Management ◽  
Traffic Load ◽  
Queue Management ◽  
Queuing Delay ◽  
Management Techniques ◽  
Overall Performance

the computer network area has grown very fast from previous years, as a result of which the control of traffic load in the network is at a higher priority. In network, congestion occurs if numbers of coming packets exceed, like bandwidth allocation along with buffer space. This might be due to poor network performance in terms of throughput, packet loss rate, and average packet queuing delay. For enhancing the overall performance when this network will become congested, numerous exclusive aqm (active queue management) techniques were proposed and few are discussed in this research paper. Particularly, aqm strategies are analyzed in detail as well as their obstacles along with strengths are emphasized. There are several algorithms which are under the aqm like ared, fred, choke, red (random early detection), blue, stochastic fair blue (sfb), random exponential marking (rem), svb, raq, etc.

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