ExpectedOutcome:A clear technological strategy for edge integration into a cloud continuum offering opportunities for European cloud/edge technology suppliers and supporting various edge/access integration scenarios, (e.g., NTN).Edge architecture and technologies supporting most demanding applications and use cases such as high automation levels for autonomous driving, immersive applications such as digital twins, advanced XR/VR, hologram applications, requiring extremely low latencies and/or very high-capacity justifying edge processing and computing.Open, secure, distributed, possibly decentralised, edge computing architectures and implementations optimally integrating heterogeneous communications and networking in edge computing for IoT, with a value chain perspective opening innovative IoT applications and control.
Objective:Please refer to the "Specific Challenges and Objectives" section for Stream A in the Work Programme, available under ‘Topic Conditions and Documents - Additional Documents’.
Scope:The work brings virtualization and disaggregation in different segments (home, edge, datacentre, NTN ground and on-board flying nodes), under...
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ExpectedOutcome:A clear technological strategy for edge integration into a cloud continuum offering opportunities for European cloud/edge technology suppliers and supporting various edge/access integration scenarios, (e.g., NTN).Edge architecture and technologies supporting most demanding applications and use cases such as high automation levels for autonomous driving, immersive applications such as digital twins, advanced XR/VR, hologram applications, requiring extremely low latencies and/or very high-capacity justifying edge processing and computing.Open, secure, distributed, possibly decentralised, edge computing architectures and implementations optimally integrating heterogeneous communications and networking in edge computing for IoT, with a value chain perspective opening innovative IoT applications and control.
Objective:Please refer to the "Specific Challenges and Objectives" section for Stream A in the Work Programme, available under ‘Topic Conditions and Documents - Additional Documents’.
Scope:The work brings virtualization and disaggregation in different segments (home, edge, datacentre, NTN ground and on-board flying nodes), under the scope of multi-access edge computing concepts. The scope is to address functional placement and optimised computing distribution capabilities as a function of requirements emerging from ultra-low latency, ultra-high-capacity immersive applications. Additionally, it may include:
AI and distributed security to protect transmitted data at the edge computing servers based on ledger or other technologies may be considered.The development of the data and control plane techniques required to realize such a multi-edge architecture.New IoT device management techniques as needed to operate over distributed architectures for IoT systems based on an open device management ecosystem.Novel programming models and engineering practices (e.g., split-computing), preferably applicable to open software environments, enabling the flexible distribution and migration of computation tasks, both horizontally among peer devices, and vertically along the IoT-edge-cloud continuum to enable economic sectors exploiting at the best the potential of the edge computing.Optimal deployment of the required data plane paths and control plane elements across a set of distributed physical edge nodes. Flexible hardware platforms, and/or programming abstractions (covering individual and aggregate resources) to achieve the benefits for agile, simplified yet automated composition and management of resources, possibly separated in “islands”.Models for devices interacting with the physical world (sensors and actuators).Demonstrate the provision of high-quality services (including reliable Operations Support System (OSS) mechanisms) while executing a very precise-latency or capacity control over massively distributed resources.Provide the necessary openness for making edge computing a “service innovation platform” running their own vertical-centric functions with optimised slice distribution and management. Related work includes data exploitation for easy generation of big data pipelines, supporting increasingly complex/intelligent data processing techniques. To explore the wealth of data expected in new services, the project will need to provide a common, standard dataspace, to be openly offered for future research activities and paving the way towards intelligent infrastructure and service management, including sustainability aspects.
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