Advances in Edge Computing and Cybersecurity

The field of edge computing and cybersecurity is rapidly evolving, with a focus on developing innovative solutions for efficient resource management, energy efficiency, and secure data management. Researchers are exploring new architectures and frameworks that enable decentralized, application-centric orchestration of distributed applications, as well as federated fog computing frameworks that optimize resource allocation and minimize latency. Additionally, there is a growing interest in cyber deception technology, with efforts to develop frameworks that facilitate the setup, rotation, and monitoring of traps in Kubernetes environments. The integration of digital twins in edge computing environments is also being explored, with a focus on enabling efficient coordination and management of digital twin models across coalition partners. Notable papers include: Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum, which introduces a novel decentralized orchestration framework, and Koney: A Cyber Deception Orchestration Framework for Kubernetes, which facilitates the setup and rotation of traps in Kubernetes environments.

Sources

An integrated design of energy and indoor environmental quality monitoring system for effective building performance management

Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT

Koney: A Cyber Deception Orchestration Framework for Kubernetes

Digital Twins for Internet of Battlespace Things (IoBT) Coalitions

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