A Knowledge-Graph-Assisted Fault Localization framework that integrates cloud-native observability with knowledge graph modeling to improve fault diagnosis in Open RAN and edge infrastructures and provides an efficient and scalable solution for intelligent fault management in next-generation cloud-native Open RAN environments is proposed.
A cross-domain service assurance framework that combines streaming telemetry with dependency-aware event correlation to provide real-time network observability and efficient fault management and is suitable for modern private 5G enterprise networks is presented.
Emerging technologies such as Cloud Computing, 5G, the Internet of Things (IoT), and Edge Computing demand the management of large-scale and highly dynamic network infrastructures. Traditional network configuration does not scale efficiently, whereas Software-Defined Networking (SDN) enables centralized control and sim...
Rivaldo Fernandes, B. Dalmazo, A. Riker et al.· International Conference on...· 0 citations
This review explores the recent approaches of the state of the art focused on service orchestration in IoT edge-cloud environments, concentrating on architectures and methodologies that enable resource allocation and service management.
ADIMS (Adaptive Distributed Infrastructure Monitoring System) is a cloud-based telemetry platform that facilitates real-time monitoring and management of distributed field infrastructure across various organizational contexts that helps achieve sustainable resource management and climate action goals that align with th...
Kevin Nyapom, David Padi· International Journal of Fut...· 0 citations
An adaptive edge gateway for ZigBee-based IoT networks that can switch between MQTT and CoAP as needed, and shows that adaptive switching improves packet delivery by 15–20% during faults in comparison to static setups and reduces recovery time without much extra overhead.
Ali H. BenHusein, Mohamed Buker· Comprehensive Journal of Sci...· 0 citations
The proposed model demonstrates how distributed computing techniques with energy-aware techniques can result in scalable and sustainable disaster response systems.
P. R, R. V., R. M et al.· International Journal of Ele...· 0 citations
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