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WatchEDGE studies an advanced edge-computing architecture supporting AI-based applications distributed on geographically-distant sites. Each site (or “island”) – interconnected by SD-WAN – is equipped with edge-computing infrastructure that can be provided by fleets of flying drones (FANET), and smart radars and fixed or flying cameras.

The project – orchestrated to maximize data processing at the edge – works towards a use case of environmental surveillance for smart agriculture and wildlife protection, relying on AI-based image processing.

WatchEDGE is part of  Spoke 8 – Intelligent and Autonomous Systems

 

In the first nine months of RESTART, most of WatchEDGE activity covered “Architecture and Requirements” and focused on the preparation of the first deliverable, that will identify the application scenario of the WatchEDGE project, the requirements, and the main features of the architecture.

Partners also started the activities on “Orchestration Algorithms and Methods” and disseminated the project goals internally and externally.

Procedures to buy experimental equipment are in progress.
  • Orchestrators for WatchEDGE: Open-Source Implementation and Simulation
  • Object Detection with Open Computer Vision
  • A Supervised-Learning Platform for Automatic Wild-Animal Aerial Recognition
  • Optimizing Computational Load Balancing in FANETs for Wild-Animal Aerial Recognition: A Federated Learning Approach
  • WatchEDGE Smart Radar Sensors: Initial Phase of Hardware Implementation
  • Resource-Aware Model Aggregation for Federated Learning Training Rounds in SD-WANs
In addition, four technical papers were produced:
  • “From MPLS to SD-WAN to ensure QoS and QoE in cloud-based applications”
  • “Performance Characterization and Profiling of Chained CPU-bound Virtual Network Functions”
  • “OSCAR: a Contention Window Optimization approach using Deep Reinforcement Learning”
  • “MANTRA: an Edge-Computing Framework based on Multi-Armed Bandit for Latency- and Energy-aware Job Offloading in Vehicular Networks”
Detailed list of papers available on RESTART Mission 7 repository.
On September, 28, form 2pm to 4pm, the project organized the Dissemination Workshop, open to the public: "WatchEDGE Architecture and Requirements" WORKSHOP AGENDA: • Mengyao Li, Sebastian Troia, Guido Maier, Politecnico di Milano "Orchestrators for WatchEDGE: Open-Source Implementation and Simulation" • Jean Pierre Asdikian, Sebastian Troia, Guido Maier, Politecnico di Milano "Object Detection with Open Computer Vision" • Andrea Caruso, Christian Grasso, Raoul Raftopoulos, Giovanni Schembra, Università degli Studi di Catania "A Supervised-Learning Platform for Automatic Wild-Animal Aerial Recognition" • Andrea Caruso, Christian Grasso, Raoul Raftopoulos, Giovanni Schembra, Università degli Studi di Catania "Optimizing Computational Load Balancing in FANETs for Wild-Animal Aerial Recognition: A Federated Learning Approach" • Elisa Giusti, Luca Gentile, Ajeet Kumar, CNIT – Lab. RaSS Pisa WatchEDGE Smart Radar Sensors: Initial Phase of Hardware Implementation The workshop was held in Catania (University of Catania, Cittadella Universitaria, Building no. 4 (DAU) – Aula Magna Oliveri.
  1. Definition of the WatchEDGE physical and control architectures (KPI-1)
    • Expected 100%
    • Accomplished 40%
    • Readiness level 1.6
  2. Design of the WatchEDGE orchestration system (KPI-2)
    • Expected 100%
    • Accomplished 5%
    • Readiness level 0.2
  3. Design of the WatchEDGE AI-based application manager (KPI-3)
    • Expected 100%
    • Accomplished 5%
    • Readiness level 0.2
  4. Development of the WatchEDGE experimental validation testbed (KPI-4)
    • Expected 100%
    • Accomplished 10%
    • Readiness level 0.4
  5. WatchEDGE-solution performance assessment (KPI-5)
    • Expected 100%
    • Accomplished 0%
    • Readiness level 0
  6. Peer-reviewed publications in IEEE/ACM journals/magazines (KPI-6)
    • Expected 8
    • Accomplished 1
    • Readiness level 0.5
  7. Peer-reviewed publications at IEEE/IEEE co-sponsored international conferences (KPI-7)
    • Expected 12
    • Accomplished 4
    • Readiness level 1.3
  8. Fraction of joint publications (e.i. with authors affiliated to multiple RESTART partners) (KPI-8)
    • Expected 30%
    • Accomplished 20%
    • Readiness level 2.6
  9. Training events for the scientific community (e.g. conference workshops, keynote, invited or tutorial presentations), and/or for PhD students and/or industry employees (KPI-9)
    • Expected 4
    • Accomplished 6
    • Readiness level 6
  10. Tutorial materials (videos, slide sets, etc.) for remote teaching (KPI-10)
    • Expected 3
    • Accomplished 0
    • Readiness level 0
  11. International visitors (PhD students/researchers) hosted (KPI-11)
    • Expected 2
    • Accomplished 1
    • Readiness level 2


Collaboration Proposals:

WatchEDGE is currently looking for new partners, as four tasks of the project are currently included in the RESTART Cascade Calls related to SPOKE 8 – INTELLIGENT AND AUTONOMOUS SYSTEMS, coordinated by Università degli Studi di Roma Tor Vergata. Check the Call at the following link.

For any proposal of collaboration within the project please contact giovanni.schembra at unict.it


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