MORPHEMIC: Proactive Cloud

Cloud computing optimization platform

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.

About us

12 partners from 7 countries are developing the innovative MORPHEMIC for future specialized hardware configurations like GPUs, TPUs, AI chips, FPGA, HPC.

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Announcements

MORPHEMIC at Jakarta TechTalk

 Alicja Reniewicz and Paweł Skrzypek from 7bulls.com will present MELODIC solution and MORPHEMIC project during the keynote session entiled: “Forecasting based proactive optimization of cloud resources: as an innovative way of cloud resources...

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MORPHEMIC at Horizon Cloud Summit 2020

On 25 & 26 November 2020, H-CLOUD organised its first major community event: The virtual edition of Horizon Cloud Summit 2020. MORPHEMIC also was there with the session took place...

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IS-Wireless at GLOBECOM conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 3000...

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MORPHEMIC on Horizon Cloud Summit 2020

On 25-26 November Horizon Cloud was organising an online Summit shaping the future cloud strategy in Europe. Morphemic was there with the session entitled Proactive and polymorphic adaptation of multi-cloud...

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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.