A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

[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 …, 2022 - 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 …

Vabus: Edge-cloud real-time video analytics via background understanding and subtraction

H Wang, Q Li, H Sun, Z Chen, Y Hao… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

Multi-exit DNN inference acceleration based on multi-dimensional optimization for edge intelligence

F Dong, H Wang, D Shen, Z Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …

Ec²detect: real-time online video object detection in edge-cloud collaborative IoT

S Guo, C Zhao, G Wang, J Yang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Video object detection is a fundamental technology of intelligent video analytics for Internet
of Things (IoT) applications. However, even with extraordinary detection accuracy …

Edge-assisted real-time video analytics with spatial–temporal redundancy suppression

Z Wang, X He, Z Zhang, Y Zhang, Z Cao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Driven by plummeting camera prices and advances of video inference algorithms, video
cameras are deployed ubiquitously and organizations usually rely on live video analytics to …

A survey of approaches to unobtrusive sensing of humans

JM Fernandes, JS Silva, A Rodrigues… - ACM Computing Surveys …, 2022 - dl.acm.org
The increasing amount of human-related and/or human-originated data in current systems is
both an opportunity and a challenge. Nevertheless, despite relying on the processing of …

Partitioning dnns for optimizing distributed inference performance on cooperative edge devices: A genetic algorithm approach

J Na, H Zhang, J Lian, B Zhang - Applied Sciences, 2022 - mdpi.com
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

Ents: An edge-native task scheduling system for collaborative edge computing

M Zhang, J Cao, L Yang, L Zhang… - 2022 IEEE/ACM 7th …, 2022 - ieeexplore.ieee.org
Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the
coupled data, computation, and networking resources among heterogeneous geo …

Elasticedge: An intelligent elastic edge framework for live video analytics

H Sun, Q Li, K Sha, Y Yu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Cloud computing and edge computing models are popularly applied in emerging
applications, such as smart homes, smart parks, and connected autonomous vehicles for …