Nephele
Main goals of the project
- Design and build a virtual object that will tackle interoperability and convergence challenges in the compute continuum and develop synergetic orchestration mechanisms that can manage distributed applications in the continuum.
- Create an open reference infrastructure for the development and growth of CEI continuum ecosystems.
- Develop a multi-layered lightware software stack for the optimisation of convergence and interoperability functionalities as well as decentralised orchestration.
- Develop and support a hyper-distributed applications development ecosystem for the purpose of application optimisation, reusability, and distribution.
Main outputs of the project
- Virtual Object Stack (VOStack) as an IoT and edge computing software stack for leveraging virtualisation of IoT devices.
- Synergetic meta-orchestration framework for managing the synergy between cloud and edge computing platforms.
- Development of a set of Virtual Objects (VOs) for specific types of IoT Devices.
- Development of a set of IoT enablers and a set of virtualised IoT-specific functions.
Nephele use cases
*Read more details on the project website.
Energy Management in Smart Buildings/Cities
Methodology: Integration of Cloud-Edge processing with building monitoring and control continuums, harmonisation between existing sensors and smart devices, deployment of management automation processes.
Objective: Performance optimisation through latency decrease and computational power increase; Decreased energy consumption through flexible self-management; Increased reliability and wellbeing of the offered services through continuum selfhealing and stabilisation.
Smart Port
Methodology: Integration of Cloud-Edge processing with port logistics tools, deployment of sensors for container and vehicle movements, implementation of machine-learning processes for problemsolving and risk avoidance.
Objective: Resource optimisation through decentralised decisionmaking; Increase in system flexibility, stability, and portability through continuum harmonisation; Increased coordination capabilities with different networks (road, railway) through predictive decision-making.
Emergency/ Disaster Recovery
Methodology: Establishment of a Cloud-Edge continuum for emergency initiatives, integration of sensor-carrying robots and smart devices in the continuum, deployment of edge computing for lowreception scenarios.
Objective: Increased victimlocating capabilities through the processing of data from the sensors in the continuum; Optimisation of injury assessment and treatment through data gathered by the smart devices; Predictive emergency operations through system-wide analytics.
Remote Healthcare
Methodology: Integration of Cloud-Edge processing with ultrasound medical imaging systems.
Objective: Connect, decompose and virtualize ultrasound medical imaging systems into the cloudedge continuum to lose any barriers due to the hardware capabilities and localization of current physical systems.