D2.10 – MOBISPACES Edge Analytics Suite V1
Creators: name: Crysakis, Ioannis
name: Orphanoudakis, Fanis
name: Zalonis, Andreas
name: Theodoridis, Yannis
name: Theodoropoulos, George
name: Makridis, George
name: Graser, Anita
name: Heistracher, Clemens
name: Dragaschnig, Melitta
name: Drakos, Myroulla
name: Pirillos, Christoforos
name: Doulkeridis, Christos
Publisher: name: Zenodo
Year: 2023

description: This is the first deliverable (of type "Demonstrator") of Task 2.4 reporting on the first version of the Edge Analytics Suite (EAS). As part of WP2, Task 2.4 provides technical oversight of R&D activities, delivering/integrating the MOBISPACES EAS as defined in the context of the first version of the MOBISPACES architecture. The EAS integrates decentralized, edge analytics algorithms, based on techniques for ML over mobility data that go beyond the state-of-theart, developed in WP5. The objective is to apply learning techniques in-situ over distributed subsets of mobility data in accord to their locality, thus alleviating the need of a centralized data assembly (also expected to contribute to greener operations based on data analytics), whereas the techniques of this Suite will be tailored for spatiotemporal time series that correspond to trajectories of moving objects (i.e., vehicles and vessels), being specialized to target both free movement as well as constrained movement. 
This document provides a short report complementing the prototyping, piloting and demonstration activities of Task 2.4. Specifically, the integration plan and status of four major components of the EAS as have been defined in Deliverable D2.1 (the first version of MOBISPACES Architecture), are reported in this deliverable together with their related prototyping and integration activities. Depending on the status of implementation, relevant results are presented, followed by details about the component design, mode of operation, validation and demonstration methodology and significant achievements and progress made during the first 10-month period of the project. The detailed scientific background, design methodology, technical details and evaluation methodology are reported in Deliverable 5.1 ("Mobility-aware Decentralized Analytics v1"), whereas in this deliverable, the software implementation status is described together with the overall integration status and future plans towards demonstrating the overall operation of the EAS as part of the MOBISPACES platform. 
Specifically, in this first period of the project, Task 5.1 on mobility-aware learning at the edge based on dynamic edge analytics has evaluated existing algorithms and methodologies focusing on the methodology of algorithmic benchmarking to setup the environment to contribute to the target MOBISPACES adaptive orchestration of the cloud continuum scheme. Development of further dynamic edge analytics algorithms and their integration in the EAS is planned based on this initial exploration on the next releases of the MOBISPACES platform. Task 5.2 on the MOBISPACES Federated Learning (FL) framework has focused on the design and development of MOBISPACES FL infrastructure based on appropriate open-source frameworks. On top of this infrastructure a simulated framework to evaluate FL model development under different scenarios has been developed and initial scenarios related to i) emulating the conditions of UC4 using real-world historic AIS data and ii) predicting vessel routes using the FedVRF approach have been demonstrated. Task 5.3 on Trustworthy and XAI Predictions has developed a first prototype demonstrating a set of techniques that produce more explainable models which will be extended in the next releases of the MOBISPACES platform to focus on the demonstration of outputs related to specific use cases (UCs) providing time series data and explainability of mobility patterns. Finally, the Privacy-Aware Visual Analytics (PAVA) component design and demonstration is included in this deliverable, undertaken under T5.4. PAVA effectively analyses data from the involved UCs and its operation is demonstrated in this first period of the project using data from UCs #2 and #3. 5 Additionally, it is integrated with the MOBISPACES Coordinated Authorization and Access Control Mechanism. 
The contents of this deliverable mainly use as input the architecture specifications included in Deliverable D2.1 and the WP5 technical component specifications as included in D5.1 as well as their interfaces to other MOBISPACES components as documented in D3.1 and D4.1 and will contribute providing outputs to Deliverables D2.13 "MOBISPACES Integration v1" about the overall MOBISPACES platform integration and D6.4 "Use Cases System Integration, Deployment & Experimentation v1".