Resource demands are a key parameter of stochastic performance models that needs to be
determined when performing a quantitative performance analysis of a system. However, the …

The adoption of cloud technologies is steadily increasing. In such systems, applications can
benefit from nearly infinite virtual resources on a pay-per-use basis. However, being the …

Worldwide interest in the delivery of computing and storage capacity as a service continues
to grow at a rapid pace. The complexities of such cloud computing centers require advanced …

Distributed message systems (DMSs) serve as the communication backbone for many real-
time streaming data processing applications. To support the vast diversity of such …

DevOps is a novel trend in software engineering that aims at bridging the gap between
development and operations, putting in particular the developer in greater control of …

Performance models provide effective support for managing quality-of-service (QoS) and
costs of enterprise applications. However, expensive high-resolution monitoring would be …

Parameterizing performance models for multi-threaded enterprise applications requires
finding the service rates offered by worker threads to the incoming requests. Statistical …

Workload measurements in enterprise systems often lead to observe a dependence
between the number of requests running at a resource and their mean service requirements …

Software performance engineering (SPE) enables software architects to ensure high
performance standards for their applications. However, applying SPE in practice is still …

The performance of today's enterprise applications is influenced by a variety of parameters
across different layers. Thus, evaluating the performance of such systems is a time and …