We present a broad literature survey of parameter and state estimation for queueing
systems. Our approach is based on various inference activities, queueing models …

In this article, we focus on multi-server queueing systems in which inter-arrival and service
times are exponentially distributed (Markovian). We use a Bayesian technique, the …

This paper presents a method for queue length estimation from connected vehicles
equipped with range measurement sensors such as light detection and ranging, stereo …

Estimation models from connected vehicles often assume low level parameters such as
arrival rates and market penetration rates as known or estimate them in real-time. At low …

Estimating the input of a Levy-driven queue by Poisson sampling of the workload process Page
1 Bernoulli 25(4B), 2019, 3734–3761 https://doi.org/10.3150/19-BEJ1109 Estimating the input of …

Software Defined Networking (SDN) is a new architectural paradigm that enables
programmable control of a network to make it more flexible and easier to manage. SDN …

Queues with general inter-arrival times in batches of random sizes, multi-servers, and finite-
buffer spaces are studied, as the determination of their performance measures is a …

In this work, we revisit a classic problem of inferring a tree topology from end-to-end
measurements originated by a single source, with two critical differences:(i) instead of …

This paper considers the problem of estimating probabilities of the form P(Y≦w), for a given
value of w, in the situation that a sample of iid observations X_1,...,X_n of X is available, and …

We consider single-pass, lossless, queueing systems at steady-state subject to Poisson job
arrivals at an unknown rate. Service rates are allowed to depend on the number of jobs in …