In this paper, we explore a novel approach to end-to-end round-trip time (RTT) estimation
using a machine-learning technique known as the experts framework. In our proposal, each …

In this paper, we explore a novel approach to end-to-end round-trip time (RTT) estimation
using a machine-learning technique known as the Experts Framework. In our proposal, each …

We propose and evaluate a passive measurement methodology that estimates the
distribution of Round-Trip Times (RTTs) for the TCP connections that flow through a network …

We first study the accuracy of two well-known analytical models of the average throughput of
long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these …

Predicting the expected throughput of TCP is important for several aspects such as eg
determining handover criteria for future multihomed mobile nodes or determining the …

The Round-Trip Time (RTT) is a property of the path between a sender and a receiver
communicating with Transmission Control Protocol (TCP) over an IP network and over the …

The round-trip time and congestion window are the most important rate-controlling variables
in TCP. We present a novel method for estimating these variables from passive traffic …

Predicting the throughput of large TCP transfers is important for a broad class of
applications. This paper focuses on the design, empirical evaluation, and analysis of TCP …

Previous measurement showed that self-similar nature is found not only in network traffic
volume but also round trip packet delay. In this paper, we discuss three issues of the self …

In large-scale dynamic communication networks, end systems cannot rely on the network
itself to cooperate in characterizing its own behavior. This has prompted research activities …