MORPHEMIC Project

MORPHEMIC is a unique way of adapting and optimizing Cloud computing applications. The project is an extension of MELODIC which is a multi-cloud platform developed in the H2020 project. MELODIC is the simplest and easiest way to use Cross-Cloud. Now this open source platform is extended to MORPHEMIC with 2 main innovative pillars:

Polymorphing architecture

when a component can run in different technical forms, i.e. in a Virtual Machine (VM), in a container, as a big data job, or as serverless components.

Proactive adaptation

aims to forecast future resource needs and possible deployment configurations -adaptation can be done effectively and seamlessly for the users of the application.

Announcements

Morphemic presented by Activeeon: Big Data Paris & AI Paris

Activeeon, one of the Morphemic partners, will participate in the Big Data Paris and AI Paris https://www.bigdataparis.com/2020/en/home/ https://aiparis.fr/2020/ Both events have been Read more

Multi-Cloud Management Platform Comparison

A few years ago we were saying that Cloud is the future. Then, when Cloud became our present, we were Read more

Two editions of ServerlessDays

“Autonomous Multi-Cloud serverless deployment and optimized management” by Alicja Reniewicz and Pawel Skrzypek. This is a presentation which we we Read more

17-21.08.2020 –> ACSOS 2020: 1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems

ACSOS is a brand new event of ieee.org – one of the tech industry leaders. Their numerous conferences focus crowds of experts Read more

Participation in H-Cloud Community

Together with MELODIC we are a part of an European open cloud computing community which has been created by H-Cloud Read more

OW2online’20 conference

In June we had a pleasure to present Morphemic project at one of the biggest opensource events. It is organized Read more

Morphemic – new EU Horizon 2020 project

MORPHEMIC is newly funded EU Horizon 2020 project. Start date: 01/01/2020, end date: 31.12.2022. Grant agreement ID: 87164312 partners:from Norway (University Read more

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No. 871643.