This is a slide deck presented by Cleber Morais (DCU) at an IC4 research seminar in DCU Business School on November 15, 2018.

1. Reliable Capacity Provisioning and Enhanced
Remediation for Distributed Cloud Applications
http://recap-project.eu recap2020
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S HORIZON 2020
RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NUMBER 732667
A Modelling Language for Defining Cloud Simulation
Scenarios in RECAP Project Context
Cleber Matos de Morais, Patricia Takako Endo, Sergej Svorobej, Theo Lynn
Dublin City University (DCU), Ireland

2. Context
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3. Motivation
• Dynamic edge/fog/cloud infrastructure are very complex and
specific and we need to run fast and flexible simulation to make
management decisions;
• To simulate these scenarios, we need an unique simulation
configurations file with scenarios requirements; and
• Simulation configuration are time consuming and require
experienced staff with specialist expertise.
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4. Approach
• Model an abstraction that can be easily reconfigured using the
Model-driven Development methodology;
• Define abstract entities that should be mapped to the model and
its relations;
• Create constrains rules to the visual modelling that implements a
great variety of business rules;
• Automatically generate outputs that fit the RECAP simulation needs.
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5. Theories
• Model-driven Development (MDD) is an evolution of the software
diagrams and software development methodologies that deal with
high level abstractions to define their system requirements, and
then automatically generate code;
• To make use of MDD, it is necessary to define a Domain Specific
Modeling Language (DSML) to describe the system requirements
that often feature a special graphical notation (concrete syntax) that
helps to improve the clarity and comprehensibility of models.
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6. The Simulation Modeling Language (SML)
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7. Application
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8. Application
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9. Application
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10. In a nutshell…
• An application of the Model-driven Development methodology;
• Easy configuration and flexibility to change during the business
analysis process;
• High level solution that do not require a configuration specialist;
• Build-in business model rules;
• Better documentation and increased quality of the simulation
parameters set-up.
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11. THANK YOU
http://recap-project.eu recap2020
RECAP Project ■ H2020 ■ Grant Agreement #732667
Call: H2020-ICT-2016-2017 ■ Topic: ICT-06-2016
THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S HORIZON 2020
RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NUMBER 732667
patricia.endo@dcu.ie,
cmorais@gmail.com