The integration of edge computing, advanced 5G connectivity, and decentralized processing drives the widespread deployment of private edge ecosystems capable to reshape numerous industry sectors. However, unlocking the full potentials of edge-level intelligent management requires concerted efforts in platform development and cross-sector collaboration.
COP-PILOT, develops a Collaborative Open Platform framework geared towards orchestrating end-to-end services across diverse industry domains.
In crafting an open platform, COP-PILOT provides a flexible solution designed to effectively manage various industry sectors while ensuring robust security, automation, and intelligence features. Furthermore, COP-PILOT empowers the development of advanced cross-sector applications by offering support for cutting-edge network services, thereby enabling heightened security, resource management, and automation capabilities.
The implementation strategy revolves around two primary directions: enabling platform implementation and real environment integration. For the former, COP-PILOT adopts a modular orchestration approach, simplifying the onboarding of complex applications through a user-friendly generative AI interface. In terms of real environment integration, the platform is deployed across four large piloting clusters, addressing a diverse array of edge paradigms.
These use cases span across energy, smart city, agriculture, and industrial manufacturing sectors, fostering the development of crosssector applications in mobility, logistics, and resource management.
Expected Objectives:
Objective 1: To design and implement an open multi-layer orchestration platform for the deployment and runtime management of collaborative applications, across heterogeneous domains and multiple distributed sectors;
Objective 2: To develop smart AI-based extensions for (i) dramatically lowering the onboarding time and complexity for large-scale services, using an LLM -based multi-modal user interface (UI) and (ii) automatically binding the SLAs of end user services with chains of closed-loop platform services that ensure these SLAs through the trinity of Intelligent Forecasting (IF) – Zero-Touch Invocation (ZI) – and-Secure Actuation (SA)
Objective 3: To develop an “Auto-Pilot” IoT-to-edge-to-core cloud continuum tool allowing infrastructure owners and service providers to (i) easily register new (clusters of) domains (ii) automate the platform expansion process, (iii) declare domain resources (incl. IoT devices and swarms) and services (incl. IoT data management services) (iv) attach the domains to the secure integration fabric, and (v) use declarative policies to associate the services and resources with trusted parties eligible to consume them.
Objective 4: To create large scale piloting clusters serving as the basis for the integration of the platform framework and the interconnection of pilot use cases, including 3rd party infrastructures and services
Objective 5: To demonstrate emerging piloting use cases in strategic industrial sectors (incl. 3rd party solutions) that highlight cross-sector collaboration scenarios, intelligent resource management over heterogeneous environments and enhanced trustworthiness, verifiable through specific technical KPIs.
Objective 6: To analyse and validate the market potentials and the sustainability impact fingerprint for both the COP-PILOT platform and the targeted strategic piloting use case sectors.
Objective 7: To maximise the impact and adoption of COP-PILOT, through specific standardisation and dissemination actions.