Mr James Deslauriers

Mr James Deslauriers


I am a Research Fellow in the Centre for Parallel Computing at the University of Westminster. I am also a Teaching Fellow at Imperial College London, where I share my time between the Graduate School and Business School, teaching research computing skills and data science. I have been with the University of Westminster for five years and was previously a full-time Lecturer in the School of Computer Science & Engineering.


I am part of the technical team working on the DIGITbrain project, investigating the creation of a platform for Digital Twins in Manufacturing and Robotics. I am involved in the EU Horizon 2020 Project ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare), providing solutions for securing healthcare data in a multi-cloud environment. I am also leading the continued development activities of MiCADO, the primary output of the now completed EU Horizon 2020 Project COLA (Cloud Orchestration at the Level of Application). MiCADO orchestrates virtual machines and containers in the cloud, automating the deployment and horizontal scaling of applications. It is cloud agnostic and is built on existing cloud technologies such as Kubernetes and Prometheus. MiCADO uses the OASIS Standard TOSCA (Topology and Orchestration Specification for Cloud Applications) to describe the application. I am interested in these cloud solutions and others, especially as they relate to creating a vendor-free ecosystem for provisioning resources and deploying complex applications. MiCADO plays a key role in cloud and edge deployments in both the DIGITbrain and ASCLEPIOS projects and its development is on-going to support these and future projects.


  • Centre for Parallel Computing

Sustainable Development Goals
In brief

Research areas

container orchestration, cloud-agnostic approaches, cloud security

Skills / expertise

devops, containers, orchestration, docker, kubernetes, statistics

Supervision interests

cloud and container orchestration, docker, kubernetes, statistics