A SIMULATION-BASED COMPARATIVE STUDY OF CONTROLLED DELAY (CODEL) WITH RANDOM EARLY DETECTION (RED) FOR NETWORK PERFORMANCE EVALUATION
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Date
2023
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British Journal of Computer, Networking and Information Technolog
Abstract
The rising need to use the internet for time/delaysensitive applications with different Quality of Service (QOS)
requirements has made network management and control even
more challenging. The current congestion avoidance and control
mechanisms for Transport Control Protocol (TCP) are insufficient
to offer good service in all circumstances. A few decades ago, the
TCP successfully regulated Internet congestion control. However,
it is already widely acknowledged that TCP has reached its limits
and that new congestion control protocols will be required in the
near future. This has prompted a significant amount of research
on novel congestion control designs that will meet the demands of
the future Internet. With widespread public attention and study,
the full buffer problem has not gone away, but rather worsened.
As a result, there has been a surge in interest in using Active
Queue Management (AQM) in Internet routers to minimize queue
latency. The effectiveness of a recently developed AQM,
Controlled Delay (CoDel) algorithm, designed to work in today’s
network setups and can be deployed as a main part of the
bufferbloat solution, is evaluated in this research study. CoDel's
effectiveness is evaluated by running simulations in ns-3 and
comparing its results to that of Random Early Detection (RED),
another promising network queue management technique