Publications and responsibilities
Towards a big data platform for managing machine generated data in the cloud
Industry 4.0 proposes the integration of the new generation of ICT solutions for the monitoring, adaptation, simulation, and optimisation of factories. With the democratization of sensors and actuators, factories and machine tools can now be sensorized and the data generated by these devices can be ...
Towards Meta-adaptation of Dynamic Adaptive Systems with Models@Runtime
A models@runtime environment keeps a model in synchrony with a running system, this way a reasoning engine adapts the system by modifying this model. Existing models@runtime environments typically fail to let the user control what concepts form the model nor how the model is synchronised with the ru...
Model-driven Engineering for the Configuration and Deployment of Data Processing Applications
This position paper reports our current endeavour towards a model-driven engineering framework to support the dynamic configuration and deployment of complex data processing applications. In particular, our approach includes a domain-specific modelling language that abstracts the data processing tas...
Models@Runtime for Continuous Design and Deployment
The MODAClouds Model-Driven Development
Constellation: a Multi-Cloud Application Designed with the MODAClouds Integrated Modelling Environment
The Evolution of CloudML and its Manifestations
Several modelling approaches including CloudML emerged to specify the deployment of cloud-based applications and automate the provisioning of computational resources. While CloudML was introduced in the REMICS project, its development continued by ongoing projects, i.e., ARTIST, MODAClouds, and PaaS...