Is the edge really necessary for drone computing offloading? An experimental assessment in carrier‐grade 5G operator networks

D Candal‐Ventureira… - Software: Practice …, 2023 - Wiley Online Library
In this article, we evaluate the first experience of computation offloading from drones to real
fifth‐generation (5G) operator systems, including commercial and private carrier‐grade 5G …

Evaluation index of school sports resources based on artificial intelligence and edge computing

L Hao, LM Zhou - Mobile Information Systems, 2022 - Wiley Online Library
As the demand for education continues to increase, the relative lack of physical resources
has become a bottleneck hindering the development of school physical education to a …

Geospatial edge-fog computing: A systematic review, taxonomy, and future directions

J Das, SK Ghosh, R Buyya - Mobile Edge Computing, 2021 - Springer
Real-time geospatial applications are ever-increasing with modern Information and
Communication Technology. Latency and Quality of Service-aware these applications are …

Data agility through clustered edge computing and stream processing

R Dautov, S Distefano, D Bruneo… - Concurrency and …, 2021 - Wiley Online Library
Summary The Internet of Things is underpinned by the global penetration of network‐
connected smart devices continuously generating extreme amounts of raw data to be …

UGV-awareness task placement in edge-cloud based urban intelligent video systems

G Zhang, X Li, L Xu, E Liu, L Zheng, W Wu, B Xu - Cluster Computing, 2024 - Springer
With the development of Mobile Edge Computing, driverless, 5 G, and related techniques,
Edge-Cloud based Urban Intelligent Video Systems are extremely promising to support …

A generic framework for deploying video analytic services on the edge

V Tsakanikas, T Dagiuklas - IEEE Transactions on Cloud …, 2022 - ieeexplore.ieee.org
This article introduces a novel distributed model for handling in real-time, edge-based
Artificial Intelligence analytics, such as the ones required for smart video surveillance. The …

Twinned power: formations of cloud-edge control

L Munn - Information, Communication & Society, 2022 - Taylor & Francis
From smart vehicles to smart city sensors, the millions of new devices connected over the
next few years will generate huge amounts of highly personal data that needs to be …

[PDF][PDF] Video surveillance architecture at the edge

J McCann, L Quinn, S McGrath, C Flanagan - 2022 - easychair.org
This paper examines the use of digital video in public safety and surveillance systems.
Traditionally video recordings are used by law enforcement to review events retrospectively …

Staying at the edge of privacy: edge computing and impersonal extraction

L Munn - Media and Communication, 2020 - papers.ssrn.com
From self-driving cars to smart city sensors, billions of devices will be connected to networks
in the next few years. These devices will collect vast amounts of data which needs to be …

E2R‐F2N: Energy‐efficient retailing using a femtolet‐based fog network

A Mukherjee, D De, R Buyya - Software: Practice and …, 2019 - Wiley Online Library
Energy‐efficient smart retail system design is a challenging research area. In this paper, we
propose an automated retail system using a femtolet‐based fog network. A femtolet is an …