Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

In recent years, the adoption of serverless computing has surged due to the ease of
deployment, attractive pay-per-use pricing, and transparent horizontal auto-scaling. At the …

In the era of the IoT revolution, applications are becoming ever more sophisticated and
accompanied by diverse functional and non-functional requirements, including those related …

This study aims to investigate up-to-date career opportunities and in-demand competence
areas and skill sets for cloud computing (CC), which plays a crucial role in the rapidly …

Serverless computing increases developer productivity by removing operational concerns
such as managing hardware or software runtimes. Developers, however, still need to …

Function-as-a-Service is a popular cloud programming model that supports developers by
abstracting away most operational concerns with automatic deployment and scaling of …

Function-as-a-Service (FaaS) enables developers to run serverless applications without
managing operational tasks. In current FaaS platforms, both synchronous and asynchronous …

In cloud event processing, data generated at the edge is processed in real-time by cloud
resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) …

The source code of Function as a Service (FaaS) applications is constantly being refined. To
detect if a source code change introduces a significant performance regression, the …

Access transparency means that both local and remote resources are accessed using
identical operations. With transparency, unmodified single-machine applications could run …