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.

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