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Rational decomposition and orchestration for serverless computing

Rational decomposition and orchestration for serverless computing

Objective

Emerging serverless computing technologies, such as function-as-a-service (FaaS) offerings, enable developers to virtualize the internal logic of an application, simplifying management of cloud native applications and allowing cost savings through billing and scaling at the level of individual function calls. Serverless computing is therefore rapidly shifting the attention of software vendors to the problem of developing cloud applications that can use these platforms.
RADON aims at creating a DevOps framework to create and manage microservices-based applications that can optimally exploit serverless computing technologies. RADON applications will include fine-grained and independently deployable microservices that can efficiently exploit FaaS and container technologies. The end goal is to broaden the adoption of serverless computing technologies within the European software industry. The methodology will strive to tackle complexity, harmonize the abstraction and actuation of action-trigger rules, avoid FaaS lock-in, and optimize decomposition and reuse through model-based FaaS-enabled development and orchestration.
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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

Address

South Kensington Campus Exhibition Road
Sw7 2az London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 646 530

Participants (7)

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STICHTING KATHOLIEKE UNIVERSITEIT BRABANT

Netherlands

EU Contribution

€ 581 753,75

TARTU ULIKOOL

Estonia

EU Contribution

€ 411 000

XLAB RAZVOJ PROGRAMSKE OPREME IN SVETOVANJE DOO

Slovenia

EU Contribution

€ 387 750

ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS

Greece

EU Contribution

€ 310 000

ENGINEERING - INGEGNERIA INFORMATICA SPA

Italy

EU Contribution

€ 382 500

UNIVERSITAET STUTTGART

Germany

EU Contribution

€ 615 103,75

PRAQMA A/S

Denmark

EU Contribution

€ 663 500

Project information

Grant agreement ID: 825040

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    30 June 2021

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 3 998 137,50

  • EU contribution

    € 3 998 137,50

Coordinated by:

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

United Kingdom