D2.1 - EMERALDS Reference Architecture

The objective of this deliverable is to present the Reference Architecture for the EMERALDS project, outlining the various components and tools, and illustrating how they are integrated into a unified EMERALDS toolset that can be merged into commercial and open-source platforms, thereby supporting an as a Service functionality across different tiers of the computing continuum. The key aspects covered in this deliverable include reference architecture design, functional and non-functional requirements, infrastructure/resource provisions, components’ high-level descriptions and technical KPIs. EMERALDS’s vision is to design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset, consisting of the proclaimed EMERALDS services, compiled in a proof-of-concept prototype, capable of exploiting the untapped potential of extreme urban mobility data. The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings, import them to real-time responsive AI/ML algorithms and visualise results in interactive dashboards, whilst implementing privacy preservation techniques at all data modalities and at all levels of a data workflow architecture. The toolset will offer advanced capabilities in data mining (searching and processing) of large amounts and varieties of urban mobility data.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-18
DOI
https://doi.org/10.5281/zenodo.14512560
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
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article

D2.1 - EMERALDS Reference Architecture

Zenodo (CERN European Organization for Nuclear Research)
Human Mobility and Location-Based Analysis
article

D2.1 - EMERALDS Reference Architecture

article en

Abstract

The objective of this deliverable is to present the Reference Architecture for the EMERALDS project, outlining the various components and tools, and illustrating how they are integrated into a unified EMERALDS toolset that can be merged into commercial and open-source platforms, thereby supporting an as a Service functionality across different tiers of the computing continuum. The key aspects covered in this deliverable include reference architecture design, functional and non-functional requirements, infrastructure/resource provisions, components’ high-level descriptions and technical KPIs. EMERALDS’s vision is to design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset, consisting of the proclaimed EMERALDS services, compiled in a proof-of-concept prototype, capable of exploiting the untapped potential of extreme urban mobility data. The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings, import them to real-time responsive AI/ML algorithms and visualise results in interactive dashboards, whilst implementing privacy preservation techniques at all data modalities and at all levels of a data workflow architecture. The toolset will offer advanced capabilities in data mining (searching and processing) of large amounts and varieties of urban mobility data.

Zenodo (CERN European Organization for Nuclear Research)
Kona Medical (United States) (US), Kappa Omicron Nu Honor Society (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Human Mobility and Location-Based Analysis
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