A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Integrating edge intelligence and blockchain: What, why, and how

X Wang, X Ren, C Qiu, Z Xiong, H Yao… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Driven by an unprecedented boom in artificial intelligence (AI) and Internet of Things (IoT),
edge intelligence (EI) pushes the frontier of AI from cloud to network edge, serving as a …

Edge intelligence: Paving the last mile of artificial intelligence with edge computing

Z Zhou, X Chen, E Li, L Zeng, K Luo… - Proceedings of the …, 2019 - ieeexplore.ieee.org
With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …

Gaia:{Geo-Distributed} machine learning approaching {LAN} speeds

K Hsieh, A Harlap, N Vijaykumar, D Konomis… - … USENIX Symposium on …, 2017 - usenix.org
Machine learning (ML) is widely used to derive useful information from large-scale data
(such as user activities, pictures, and videos) generated at increasingly rapid rates, all over …

Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy

SH Alsamhi, FA Almalki, F Afghah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …

Spanedge: Towards unifying stream processing over central and near-the-edge data centers

HP Sajjad, K Danniswara… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
In stream processing, data is streamed as a continuous flow of data items, which are
generated from multiple sources and geographical locations. The common approach for …

Firework: Big data sharing and processing in collaborative edge environment

Q Zhang, X Zhang, Q Zhang, W Shi… - 2016 Fourth IEEE …, 2016 - ieeexplore.ieee.org
Cloud computing, arguably, has become the de facto computing platform for the big data
processing by researchers and practitioners for the last decade, and enabled different …

A survey on geographically distributed big-data processing using MapReduce

S Dolev, P Florissi, E Gudes… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Hadoop and Spark are widely used distributed processing frameworks for large-scale data
processing in an efficient and fault-tolerant manner on private or public clouds. These big …

[图书][B] Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

P Raj, K Saini, C Surianarayanan - 2022 - books.google.com
Page 1 Advances in COMPUTERS Volume 127 Edge/Fog Computing Paradigm: The
Concept, Platforms and Applications Edited by PETHURU RAJ CHELLLAH, KAVITA SAINI …

Multi-query optimization in wide-area streaming analytics

A Jonathan, A Chandra, J Weissman - … of the ACM symposium on cloud …, 2018 - dl.acm.org
Wide-area data analytics has gained much attention in recent years due to the increasing
need for analyzing data that are geographically distributed. Many of such queries often …