The new paradigm of service-oriented computing facilitates easy construction of dynamic,
complex distributed systems. Recent research has shown that machine learning methods …

Байесовские сети доверия предоставляют возможность объединения нескольких видов
информации, например полученной от экспертов или статистически, позволяют …

Microservices have emerged as a popular pattern for develo** large-scale applications in
cloud environments for its benefts of fexibility, scalability, and agility. A microservices-based …

The following relates generally to computer system efficiency improvements. Broadly,
systems and methods are disclosed that improve efficiency in a cluster of nodes by efficient …

We present a data-driven approach for diagnosing performance issues in heterogeneous
Hadoop clusters. Hadoop is a popular and extremely successful framework for horizontally …

Purpose–This paper seeks to develop an approach to problem localization and an algorithm
to address the issue of determining the dependencies among system metrics for automated …

Efficient problem detection methods play an important role in system management. In this
paper, a formal method is described for problem detection in large scale and distributed …

In order to offer adequate guidance to the emerging reboot-based self-healing processes in
Web services, this paper presents probabilistic models to estimate the recovery time and …

We propose a novel algorithm to determine the availability or the states of services
considering the dynamics and scale of the networks. Our approach is based on network …

The purpose of this paper is to open a novel research perspective on reliable distributed
systems. The underlying hypothesis is that dynamic models of distributed systems can be …