Autoscaling systems provide means to automatically change the resources allocated to a
software system according to the incoming workload and its actual needs. Public cloud …

The new method of defuzzification of output parameters from the base of fuzzy rules for a
Mamdani fuzzy controller is given in the paper. The peculiarity of the method is the usage of …

The paper describes a new learning algorithm of adaptive neuro-fuzzy inference systems
that is based on the method of areas' ratio (MAR-ANFIS). Using linear and nonlinear …

The adoption of design patterns in the microservice architecture and cloud-native
development scope was recently reviewed to investigate the industry practice. Interestingly …

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

Resource demand estimation is essential for the application of analyical models, such as
queueing networks, to real-world systems. In this paper, we investigate maximum likelihood …

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 …

Purpose of research is to study the hypothesis about the possibility of changing the type of
transition process during training in a neuro-fuzzy inference system based on area ratio …

Аннотация Цель исследования: исследование гипотезы о возможности изменения
вида переходного процесса во время обучения нейро-нечёткой системы вывода …

We propose novel exact and approximate solutions for mean-value and probabilistic
analysis of closed queueing networks with limited load-dependent nodes. The main result is …