MiCADOscale, or MiCADO, is open source and dedicated to easing DevOps life. The framework is applied to different research and commercial projects. From 10/2017 until 09/2019, MiCADOscale's code was developed by Project COLA, and will be further developed by our community. The University of Westminster and SZTAKI, will support the development of MiCADOscale and it's application in research projects.
European Research and Innovation
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The COLA (Cloud Orchestration at the Level of Application) Project aimed at increasing the adoption of cloud computing services for public sector organizations and SME's. To achieve this, the generic framework MiCADOscale was developed to support the optimal and secure deployment and run-time orchestration for cloud applications.
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The ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare) project aims to create an eHealth framework that protects both corporate and personal related data. MiCADOscale is used to quickly create portable and scalable healthcare applications on various public or private clouds.
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The DIGITbrain project aims to extend the functionality of the digital twin concept by developing a "Digital Product Brain", which collects data through the entire life cycle of a production line or a machine. MiCADOscale is used as an execution engine to run simulation models within the project.
Many thanks to the following developers!
The below-listed women and men contributed significantly to the evolution of MiCADOscale and the majority still works passionately on it.
Peter Kacsuk is Director of the Laboratory of the Parallel and Distributed Systems in the Computer and Automation Research Institute of the Hungarian Academy of Sciences (SZTAKI).
Jozsef Kovacs is Senior Research Fellow at the Laboratory of Parallel and Distributed Systems (LPDS) at the Institute for Computer Science and Control (SZTAKI) of the Hungarian Academy of Sciences.
Attila Frakas is Leader of the Infrastructure team in the LPDS laboratory. He has been involved in the Cloud Orchestration at the Level of Application (COLA) and CloudiFacturing European H2020 projects.
Mark Benjamin Emodi is member of the LPDS laboratory. He has been involved in the Cloud Orchestration at the Level of Application (COLA) and CloudiFacturing European H2020 projects.
Tamas Kiss is Professor in Distributed Computing at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing at the University of Westminster.
James Deslauriers is Research Associate & leader of MiCADO's development activities at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Amjad Ullah is Research Associate at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Gabor Terstyanszky is Principal Research Fellow at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Hai-Van Dang is Research Associate at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Abdelkhalik Mosa is Research Associate at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Resmi Ariyattu is Staff at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Gregoire Gesmier is part of the team at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
Gabriele Pierantoni is part of the team at the Department of Computer Science and the Director of the University Research Centre for Parallel Computing.
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Scientific publications
Enjoy your research and discover new opportunities with MiCADOscale v0.9.0. Below, you can find all relevant scientific publications dealing with MiCADOscale.
Journal Article
Cloud agnostic big data platform focusing on scalability and cost-efficiency
Deploying Docker Swarm Cluster on Hybrid Clouds using Occopus
MiCADO—Microservice-based Cloud Application-level Dynamic Orchestrator
Occopus: a Multi-Cloud Orchestrator to Deploy and Manage complex scientific infrastructures
Supporting programmable autoscaling rules for containers and virtual machines on clouds
The Flowbster cloud-oriented workflow system to process large scientific data sets