D2.1 - EMERALDS Reference Architecture
Contributors
Researchers:
- Graser, Anita1
- Jalali, Anahid2
- Theodoropoulos, Georgios3
- Koutroumanis, Nikos3
- Theodoridis, Yannis3
- Elicegui, Ignacio Elicegui
- Lalangui, Yerhard
- Fléchon, Charlotte
- Sakr, Mahmoud4
- Salehi, Bahare4
- Antoniou, Stathis
- Galatoulas, Nikolaos Fivos
- ILIA, PANAGIOTIS
- Papadopoulos, Argyris5
- Kyrgiazos, Argyrios
- Pretti, Mattia Pretti
- Paone, Luca Paone
- Mygiakis, Antonis6, 7
Description
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.
Files
D2.1.pdf
Files
(3.5 MB)
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