arXiv AI
Towards Resilience: Slice-Driven Orchestration of Mobile IoMT in 6G-Edge-Continuum
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Jul 24
CRAWO: Custom Resources for Adaptive Workload Orchestration
arXiv:2607. 20490v1 Announce Type: new Abstract: Edge Intelligence has emerged as a key paradigm for enabling real-time applications in smart cities by shifting computation from centralized cloud data centers to the network edge, thereby reducing latency and bandwidth consumption.
arXiv AI
Jun 11
Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions
arXiv:2604. 25018v2 Announce Type: replace-cross Abstract: The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem.
arXiv AI
Oct 15
Exposing AI Inference as a Telco Network API over the 5G User Plane
arXiv:2610.15062v1 Announce Type: new Abstract: Supporting edge Artificial Intelligence (AI) inference as a network service is challenging because current mobile systems can transport tensors but do...
arXiv AI
Aug 19
Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum
The paper introduces a dynamic framework for partitioning neural network layers across a heterogeneous edge‑cloud continuum, adapting to runtime changes in network conditions and device capabilities. It profiles models at startup, measures link quality, and periodically re‑evaluates the partitioning to optimize performance. Experiments on a Raspberry Pi, laptop, and desktop using VGG16, AlexNet, and MobileNetV2 demonstrate energy savings of 27.09–35.82% and latency reductions of 6.34–22.92% over static partitioning.
arXiv AI
Jul 17
EdgeFaaS: A Function-based Framework for Edge Computing
arXiv:2607. 14489v1 Announce Type: cross Abstract: Edge computing brings unique challenges as the resources on the edge are highly diverse in capabilities and capacities, and highly distributed across many users and the physical world.
arXiv AI
Jun 16
Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems
arXiv:2606. 14710v1 Announce Type: cross Abstract: Edge-resident AI agents increasingly span home servers, IoT hubs, laptops, and phones, yet their coordination stacks still assume cloud-style transports or a central relay.