Towards the decentralised cloud: Survey on approaches and challenges for mobile, ad hoc, and edge computing

AJ Ferrer, JM Marquès, J Jorba - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Cloud computing emerged as a centralised paradigm that made “infinite” computing
resources available on demand. Nevertheless, the ever-increasing computing capacities …

Big data resource management & networks: Taxonomy, survey, and future directions

FM Awaysheh, M Alazab, S Garg… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …

AI-based cloud-edge-device collaboration in 6G space-air-ground integrated power IoT

Z Wang, Z Zhou, H Zhang, G Zhang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Space-air-ground integrated communication networks and artificial intelligence (AI) play
critical roles in future 6G wireless communication. The Power Internet of Things (PIoT) …

Artificial intelligence for securing IoT services in edge computing: a survey

Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - Wiley Online Library
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

Distributed edge computing offloading algorithm based on deep reinforcement learning

Y Li, F Qi, Z Wang, X Yu, S Shao - IEEE Access, 2020 - ieeexplore.ieee.org
As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

Distributed task allocation to enable collaborative autonomous driving with network softwarization

Z Su, Y Hui, TH Luan - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
The autonomous vehicles (AVs), like that in knight rider, were completely a scientific fiction
just a few years ago, but are now already practical with real-world commercial deployments …

Context-aware data and task placement in edge computing environments

M Breitbach, D Schäfer, J Edinger… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Computationally intensive tasks of IoT applications can be offloaded to powerful devices in
the edge. Code offloading reduces energy consumption and increases performance …

An ultra-high-density and energy-efficient content addressable memory design based on 3D-NAND flash

H Yang, P Huang, R Han, X Liu, J Kang - Science China Information …, 2023 - Springer
In this article, the design of a novel 3D-NAND-based content addressable memory (CAM)
consisting of two flash transistors with ultra-high density and low power consumption is …

LEDGE: Leveraging edge computing for resilient access management of mobile IoT

D Wu, X Huang, X Xie, X Nie, L Bao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to the blooming of Internet of Things (IoT), heterogeneous IoT mobile devices emerge to
connect the network infrastructure. Traditional mobile access system faces several …

Latency-aware task scheduling in software-defined edge and cloud computing with erasure-coded storage systems

J Tang, MM Jalalzai, C Feng, Z Xiong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The collaborative edge and cloud computing system has emerged as a promising solution to
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …