Grants

MODAClouds – Model Driven Approach for design and execution of applications on multiple Clouds

October 2012 - September 2015

The main goal of MODAClouds (www.modacluds.eu) is to support the high-level design, early prototyping, semi-automatic code generation, and automatic deployment of applications on multi-Clouds with guaranteed QoS.
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OptiMAM: Optimising Model-Driven Service Design via Stochastic Analysis Methods

January 2015 - December 2015

OptiMAM focuses on analysis and optimisation algorithms for services computing and business process models. The project will assess the applicability of matrix-analytic methods (MAM) to this application area. In collaboration with BOC group.

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DICE: Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements

February 2015 - January 2018

The focus of the DICE project is to define a quality-driven framework for developing data-intensive cloud applications that leverage Big Data technologies. DICE will offer a novel profile and tools for data-aware quality-driven development. The project will also define a methodology for quality assessment, architectural enhancement, continuous testing and deployment, relying on principles from the emerging DevOps paradigm.

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RADON: Rational decomposition and orchestration for serverless computing

January 2019 - June 2021

RADON is an upcoming new H2020 project on software engineering methods for serverless computing.
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