Microservices based architectures are increasingly widespread in the cloud software
industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique …

The efficient management of the performance and reliability factors of safety critical systems
(SCSs) may optimize system's performability and hence improve the quality of the SCSs. A …

Resource management in cloud computing is a difficult problem, as one is often tasked with
balancing between adequate service to clients and cost minimization in dynamic …

Despite the large literature on queueing theory and its applications, tool support to analyze
these models is mostly focused on discrete-event simulation and mean-value analysis …

We investigate the extent to which redundancy (including with diversity) can help mitigate
the impact of cyber attacks that aim to reduce system performance. Using analytical …

Building performance models for software services in DevOps is costly and error-prone.
Accurate service demand distribution estimation is critical to precisely modeling queueing …

Layered queueing networks (LQNs) are an extension of ordinary queueing networks useful
to model simultaneous resource possession and stochastic call graphs in distributed …

As a multi-class variant of the classical egalitarian processor-sharing (EPS) discipline,
discriminatory processor sharing (DPS) provides a suitable paradigm to model systems …

Cloud computing has quickly grown to become an essential component in many modern-
day software applications. It allows consumers, such as a provider of some web service, to …

LINE is an open source library to analyze systems that can be modeled by means of
queueing theory. Recently, a new major release of the tool (version 2.0. 0) has introduced …