[HTML][HTML] A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications

S Nayak, R Patgiri, L Waikhom, A Ahmed - Digital Communications and …, 2024 - Elsevier
Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …

A review of efficient real-time decision making in the Internet of Things

KD Kang - Technologies, 2022 - mdpi.com
Technologies | Free Full-Text | A Review of Efficient Real-Time Decision Making in the Internet of
Things Next Article in Journal IoT Framework for Measurement and Precision Agriculture …

Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning

T Wang, Q Fan, X Li, X Zhang, Q **ong… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Network function virtualization (NFV) is a promising paradigm that network functions can be
deployed on commodity servers instead of dedicated servers to enhance the resource …

Extended kernel density estimation for anomaly detection in streaming data

J Rosenberger, K Müller, A Selig, M Bühren… - Procedia CIRP, 2022 - Elsevier
Abstract Machine Learning algorithms based on kernel density estimation (KDE) are said to
be well suited for anomaly detection. However, existing approaches mainly cover point …

CURATE: On-demand orchestration of services for health emergencies prediction and mitigation

L Sanabria-Russo, J Serra, D Pubill… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Telemedicine, or the ability granted to doctors to remotely assist patients has been greatly
benefited by advances in IoT, network communications, Machine Learning and Edge/Cloud …

Monitoring of iot systems at the edges with transformer-based graph convolutional neural networks

A Ba, F Lorenzi, J Ploennigs - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) systems are complex, and consist of distributed and interdependent
components, making the modeling, prediction and monitoring of their behavior a critical …

A time granular analysis of software defined wireless mesh based IoT (SDWM-IoT) network traffic using supervised learning

R Kumar, U Venkanna, V Tiwari - Wireless Personal Communications, 2021 - Springer
The ceaseless increase in the number of the wireless Internet of Things (IoT) devices has
resulted in the need of different traffic engineering techniques to manage the massive …

Towards policy-aware edge computing architectures

P Baniya, G Bajaj, J Lee, A Bastani… - … Conference on Big …, 2020 - ieeexplore.ieee.org
Cloud computing offers an economical and elastic means to handle the storage and
computation needs of the Internet of Things (IoT). However, storage and retrieval from the …

Internet of medical things and coding as a service (IoMTCaaS) for monitoring people affected by Covid-19

Y Rivera, E Vega, EJP Cantillo - Encuentro Internacional de …, 2022 - acofipapers.org
Con la necesidad cada vez mayor de recursos computacionales y de transferencia de datos
que exigen los servicios de telemedicina, no es realista que los dispositivos médicos …

Analysis of Revolutionizing IoT Solutions through Cloud Computing Integration

SI Abbas, R Walia - … on Sentiment Analysis and Deep Learning …, 2024 - ieeexplore.ieee.org
This research work investigates the significant potential for increasing productivity and
promoting innovation in a range of sectors presented by the combination of DevOps, Cloud …