Compositional View of the Continuum Reference Architecture: graphical representation of common and potential capabilities

EUCEI initiative - https://eucloudedgeiot.eu/
This is the last document of a series of 3 for designing a Reference Architecture for the continuum. The first document of the series presented an initial version of a common taxonomy, considering it as a unified language for all actors of the value chain.

Functional View of the Continuum Reference Architecture: Minimum set of expected functionalities

EUCEI initiative - https://eucloudedgeiot.eu
This is the second document of a series of three defining a reference architecture for the continuum. In the previous one, different building blocks were identified setting the path for the different aspects to be taken into account while defining the architecture.

Developing a Reference Architecture for the Continuum - Concept, Taxonomy and Building Blocks

EUCEI initiative - https://eucloudedgeiot.eu
Cloud and edge computing are essential technologies in a computing continuum to ensure data is managed more efficiently – closer to the originating source rather than transmitting raw data to data centres. As recent studies suggest, data processing is moving closer to the edge.

Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare

Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.

Edge Computing Whitepaper

This whitepaper provides an overview of edge computing technology, use cases and existing market developments.

What is edge computing?

Edge computing locates computing and storage resources at the edge of the network, with the intention of getting data and analytics to the right place, at the right time. It decentralises data processing and avoids non-essential data transmission.

The Edge vs the Swarm

Comparison of Edge and Swarm Computing

Collaborative SLA and reputation-based trust management in cloud federations

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing.

Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning

With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.

From Innovative Niches to a Cooperative IoT Ecosystem. Creating Business Value for Federated and Interoperable IoT Platforms.

2nd Global IoT Summit: IoT Technologies and Applications for the Benefit of Society