Towards a formal reference computational model for cloud configuration management

The multiplication of models, languages, APIs and tools for cloud and network configuration management raises heterogeneity issues that can be tackled by introducing a reference model. A reference model provides a common basis for interpretation for various models and languages, and for bridging different APIs and tools.This report formally specifies, in the Alloy specification language, a reference model for cloud configuration management, we call the Cloudnet Computational Model. We show how to formally interpret several configuration languages in it, including the TOSCA configuration language, the OpenStack Heat Orchestration Template, the Docker Compose configuration language, and the Aeolus cloud deployment model. We show in particular how the formal operational semantics of our Cloudnet computation modelallows us to extend the TOSCA standard with Aeolus concepts for deployment lifecycle,and how the Alloy formalization allowed us to discover several classes of errors in the OpenStack HOT specification

Components as Location Graphs

International audienceThis paper presents a process calculus framework for modeling ubiquitous computing systems and dynamic component-based structures as location graphs. A key aspect of the framework is its ability to model nested locations with sharing, while allowing the dynamic re-configuration of the location graph, and the dynamic update of located processes