Cloud and edge computing technologies are being used nowadays to deploy a large variety of sophisticated services and applications characterized by different service level requirements. To satisfy these requirements as well as user expectations, it is necessary to measure, assess and predict the performance of these complex technological infrastructures and of their workloads. The peculiarities of these technologies and variability of the workload intensity and characteristics open new performance challenges, for example dealing with dynamic resource provisioning under uncertainty, workload forecasting, load distribution and data-flow scheduling. Methodologies, techniques and tools for performance evaluation have to cope with these challenges.

This special issue is soliciting contributions presenting state-of-the art, original solutions or case studies in the field of performance evaluation of cloud and edge computing infrastructures and services. Topics of interest include, but are not limited to:

* Monitoring
* Benchmarking
* Workload characterization
* Modeling
* Simulation

Keywords:

* Cloud computing
* Edge computing
* Application and service QoS
* Performance modeling
* Performance prediction
* Workload forecasting
* Analytic models
* Simulation tools
* High Performance Computing


Guest Editors:

Maria Carla Calzarossa (Univ. di Pavia, Italy)
Marco L. Della Vedova (Univ. Cattolica del Sacro Cuore, Italy)
Luisa Massari (Univ. di Pavia, Italy)
Daniele Tessera (Univ. Cattolica del Sacro Cuore, Italy)