Context Modern societies are highly dependent on complex, large-scale, software-intensive
systems that increasingly operate within an environment of continuous availability, which is …

Some microservices proponents claim that microservices form a new architectural style; in
contrast, advocates of service-oriented architecture (SOA) argue that microservices merely …

Big data and predictive analytics (BDPA) techniques have been deployed in several areas
of research to enhance individuals' quality of living and business performance. The …

Many enterprise IoT application scenarios, such as connected cars, smart cities, and cloud-
connected industrial plants require distributed MQTT brokers to achieve high scalability and …

Microservice migration is a promising technique to incrementally modernize monolithic
legacy enterprise applications and enable them to exploit the benefits of cloud-computing …

Time series data, ie, data consisting of a series of timestamps and corresponding values, is
a special type of data occurring in settings such as “Smart Grids”. Extended analysis …

Despite the abundance of research on methodologies for the documentation of design
decisions and the evidence linking documentation to the improvement in the systems …

Cobbler's children do not wear shoes. Software engineers build sophisticated software but
we often cannot find the needed information and knowledge for ourselves. Issues are the …

Moving existing legacy systems to cloud platforms is an ever popular option. But, such
endeavour may not be hazard-free and demands a proper understanding of requirements …

Introducing a microservice system is a challenging task and requires the exploration and
documentation of several related areas of design. Exploration and documentation of …