Detecting and quantifying bufferbloat in network paths

Detection of AQM on Paths using Machine Learning Methods

Active Queue Management (AQM) schemes, such as PIE [1] and RED [2], have been particularly effective in combating bufferbloat and attenuating network congestion. Despite their widespread success and improved performance over traditional Tail Drop queuing schemes, the extent of AQM deployment in contemporary networks is not known [3]. Detecting the presence of AQMs in a network has potential to ...

Minimizing Bufferbloat and Optimizing Packet Stream Performance in DOCSIS 3.0 CMs and CMTSs

Comparative Analysis of CODEL and LEDBAT to Overcome Bufferbloat Problem

Bufferbloat is a problem in a packet-switched network which can occur due to increase in the size of buffer with increase in internet traffic. This creates high latency in network which ultimately degrades the performance of the network. The usage of oversized buffer in the networks results in increasing the queuing delay. Researcher has made two types of suggestions to solve the bufferbloat pr...

Improving PIE's performance over high-delay paths

Bufferbloat is excessive latency due to overprovisioned network buffers. PIE and CoDel are two recently proposed Active Queue Management (AQM) algorithms, designed to tackle bufferbloat by lowering the queuing delay without degrading the bottleneck utilization. PIE uses a proportional integral controller to maintain the average queuing delay at a desired level; however, large Round Trip Times (...

The Bufferbloat Problem and TCP: Fighting with Congestion and Latency

The bufferbloat is a serious problem of the modern nets with complex organization. The persistent saturation of the net with an excessive buffering on hops results in a huge latency which can make interactive and realtime connections practically unusable. Most research in this area is devoted to Active Queue Management (AQM) which is used to keep the packet queue size correct on the bottleneck ...