English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Smart mobility becomes paramount for meeting net-zero targets. However,autonomous, self-driving and electric vehicles require more than ever before anefficient, resilient and trustworthy computational offloading backbone thatexpands throughout the edge-to-cloud continuum. Utilizing on-demandheterogeneous computational resources for smart mobility is challenging andoften cost-ineffective. This paper introduces SMOTEC, a novel open-sourcetestbed for adaptive smart mobility experimentation with edge computing. SMOTECprovides for the first time a modular end-to-end instrumentation forprototyping and optimizing placement of intelligence services on edge devicessuch as augmented reality and real-time traffic monitoring. SMOTEC supports aplug-and-play Docker container integration of the SUMO simulator for urbanmobility, Raspberry Pi edge devices communicating via ZeroMQ and EPOS for anAI-based decentralized load balancing across edge-to-cloud. All components areorchestrated by the K3s lightweight Kubernetes. A proof-of-concept ofself-optimized service placements for traffic monitoring from Munichdemonstrates in practice the applicability and cost-effectiveness of SMOTEC.

SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation