Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …

Limited data access is a longstanding barrier to data-driven research and development in
the networked systems community. In this work, we explore if and how generative …

Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Smart Cities combine advances in Internet of Things, Big Data, Social Networks, and Cloud
Computing technologies with the demand for cyber–physical applications in areas of public …

Generally speaking, the workloads are changing rapidly on the Internet, but there is still
regularity of changing patterns. Currently, workload prediction has become a promising tool …

Periodicity detection is a crucial step in time series tasks, including monitoring and
forecasting of metrics in many areas, such as IoT applications and self-driving database …

In recent years, there has been a shift in software development towards microservice-based
architectures, which consist of small services that focus on one particular functionality. Many …

The specification of workloads is required in order to evaluate performance characteristics of
application systems using load testing and model-based performance prediction. Defining …

The increasing complexity of modern high-performance computing (HPC) systems
necessitates the introduction of automated and data-driven methodologies to support system …