In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …

Modern distributed applications offer complex performance behavior and many degrees of
freedom regarding deployment and configuration. Researchers employ various methods of …

Microservices based architectures are increasingly widespread in the cloud software
industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique …

Auto-scalers for clouds promise stable service quality at low costs when facing changing
workload intensity. The major public cloud providers provide trigger-based auto-scalers …

Software performance testing is an important activity to ensure quality in continuous software
development environments. Current performance testing approaches are mostly based on …

Simplifying the task of resource management and scheduling for customers, while still
delivering complex Quality-of-Service (QoS), is key to cloud computing. Many autoscaling …

Recent advancements in the automotive industry have led to the design of smart vehicles
with high capacity resources for communication, sensing, processing, and storage of data. In …

Building performance models for software services in DevOps is costly and error-prone.
Accurate service demand distribution estimation is critical to precisely modeling queueing …

Continuous delivery (CD) is a software release process that helps to make features and bug
fixes rapidly available in new enterprise application (EA) versions. Evaluating the …

Resource demands are crucial parameters for modeling and predicting the performance of
software systems. Currently, resource demand estimators are usually executed once for …