Case Study

RECAP

Recap

Client

Recap

Services

Cloud & IT Infrastructure

Industry

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Context

In a constantly evolving technological innovation environment, the RECAP project is part of the Horizon 2020 program funded by the European Commission. Its goal is to address the challenges faced by distributed cloud computing systems (Cloud) and Edge computing. With the participation of ten partners from six European countries, including universities, research centers, SMEs, and large companies, RECAP tackled the critical need to ensure the availability and optimization of ICT services in an increasingly complex distributed computing environment.

In this context, SATEC developed an architectural model for a high-performance IoT Cloud/Fog/Edge platform and led a use case focused on the Internet of Things (IoT) and smart cities. The main objective was to adapt existing IoT platforms to the new Edge/Cloud architectures, improving automatic provisioning and remediation of services, a fundamental challenge for the efficient development of digital cities.

Recap Context

Handling Large Volumes of IoT Data

Handling Large Volumes of IoT Data

Existing platforms were not equipped to process and manage the enormous volumes of data generated by geographically distributed IoT devices in real-time. Efficient data acquisition and processing were essential to support decision-making in dynamic urban environments.

Adaptation to Edge/Cloud Architectures

Adaptation to Edge/Cloud Architectures

Traditional architectures could not meet the demands of Edge/Cloud environments, where services must be deployed close to end-users and automatically adapt to changes in infrastructure and demand.

Automation in Service Provisioning and Remediation

Automation in Service Provisioning and Remediation

The lack of advanced capabilities for automatic provisioning and remediation in IoT platforms posed a significant obstacle, preventing a rapid and efficient response to network changes and the operational needs of cities.

Solution

To address these challenges, SATEC developed a series of innovative components within the RECAP framework. These included:

Enables efficient data acquisition from various IoT devices, ensuring proper preprocessing that improves the quality of the collected information.

These developments enabled the creation of a proof of concept for urban traffic management in the city of Cologne, where SATEC implemented an advanced vehicle traffic monitoring and routing system.
The selection of this solution was based on SATEC's ability to integrate new technologies within an existing IoT framework, adapting to the latest specifications and enabling greater flexibility and efficiency in urban infrastructure management.

Results

The RECAP project, led by SATEC in the area of smart cities, generated significant advances that not only met the initial objectives but also opened new possibilities for the efficient management of urban infrastructures. The main achievements are detailed below:

1

Optimization of Traffic Management in Cologne

Thanks to traffic monitoring, including dashboards to visualize traffic data, heat maps, optimized routes, and the logical topology of the network. This tool improved efficiency in urban traffic management and real-time decision-making.

2

Development and Publication of Advanced IoT Standards

With new concepts and architectural models for IoT platforms, aligned with the latest ISO and UNE standards. Notably, these efforts were recognized at the 5th IEEE World Forum on IoT, where SATEC presented its results. Additionally, the use case results were published in the book “Managing Distributed Cloud Applications and Infrastructure: A Self-Optimising Approach.”

3

Integration of DevOps Practices

Through a Continuous Integration and Continuous Deployment (CI/CD) model, using advanced IT automation and software orchestration tools, which enabled greater efficiency in the development and maintenance of IoT platforms.

RECAP goes beyond the current state of the art, aiming to develop the next generation of cloud/edge/fog computing capacity provisioning and remediation via targeted research advances in cloud infrastructure optimization, simulation and automation. The project will build on advanced machine learning, optimization and simulation techniques to achieve this. The overarching result of RECAP is the next generation of agile and optimized cloud computing systems. The outcomes of the project will pave the way for a radically novel concept in the provision of cloud services, where services are instantiated and provisioned close to the users that actually need them by self-configurable cloud computing systems

ANTONIO FERNÁNDEZ ANTA, IMDEA Networks