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

It is well known that building analytical performance models in practice is difficult because it
requires a considerable degree of proficiency in the underlying mathematics. In this paper …

The automatic derivation of analytical performance models is an essential tool to promote a
wider adoption of performance engineering techniques in practice. Unfortunately, despite …

Accurate estimation of resource demands is one of the key challenges to be able to use
queuing networks (QNs) for performance prediction, especially in cases where the profiling …

This is an annotated bibliography on estimation and inference results for queues and related
stochastic models. The purpose of this document is to collect and categorise works in the …

Performance load tests of online transaction processing (OLTP) applications are expensive
in terms of manpower, time and costs. Alternative performance modeling and prediction …

The ongoing uptake of cloud-based solutions by different business domains and the rise of
cross-border e-commerce in the EU require for additional public and private cloud solutions …

Queueing network models are commonly used as performance models of distributed
software applications and service-based systems. Although several methods exist for …

Machine Readable Codes have been used for several purposes. Approaches like UPC and
QR Code can be seen everywhere. Recently, it has emerged a new MRC able to combine …

Estimating the demands placed by services on physical resources is an essential step for
the definition of performance models. For example, scalability analysis relies on these …