A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - Journal of Network and Computer …, 2018 - Elsevier
Abstract Progress in Information and Communication Technologies (ICTs) is sha** more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …

FPFTS: A joint fuzzy particle swarm optimization mobility‐aware approach to fog task scheduling algorithm for Internet of Things devices

S Javanmardi, M Shojafar, V Persico… - Software: practice and …, 2021 - Wiley Online Library
Summary In the Internet of Things (IoT) scenario, the integration with cloud‐based solutions
is of the utmost importance to address the shortcomings resulting from resource‐constrained …

Software-defined cloud computing: A systematic review on latest trends and developments

AA Abbasi, A Abbasi, S Shamshirband… - Ieee …, 2019 - ieeexplore.ieee.org
Cloud computing concepts offer effective and efficient tools for addressing resource-hungry
computational problems. While conventional methods, architectures, and processing …

Is big data performance reproducible in modern cloud networks?

A Uta, A Custura, D Duplyakin, I Jimenez… - … USENIX symposium on …, 2020 - usenix.org
Performance variability has been acknowledged as a problem for over a decade by cloud
practitioners and performance engineers. Yet, our survey of top systems conferences …

Moshpit sgd: Communication-efficient decentralized training on heterogeneous unreliable devices

M Ryabinin, E Gorbunov… - Advances in …, 2021 - proceedings.neurips.cc
Training deep neural networks on large datasets can often be accelerated by using multiple
compute nodes. This approach, known as distributed training, can utilize hundreds of …

Cloud storage cost: a taxonomy and survey

AQ Khan, M Matskin, R Prodan, C Bussler, D Roman… - World Wide Web, 2024 - Springer
Cloud service providers offer application providers with virtually infinite storage and
computing resources, while providing cost-efficiency and various other quality of service …

Benchmarking big data architectures for social networks data processing using public cloud platforms

V Persico, A Pescapé, A Picariello, G Sperlí - Future Generation Computer …, 2018 - Elsevier
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …

Cost-effective replication management and scheduling in edge computing

Y Shao, C Li, Z Fu, L Jia, Y Luo - Journal of Network and Computer …, 2019 - Elsevier
The high volumes of data are continuously generated from Internet of Things (IoT) sensors in
an industrial landscape. Especially, the data-intensive workflows from IoT systems require to …

Revisiting the arguments for edge computing research

B Varghese, E De Lara, AY Ding… - IEEE Internet …, 2021 - ieeexplore.ieee.org
This article argues that low latency, high bandwidth, device proliferation, sustainable digital
infrastructure, and data privacy and sovereignty continue to motivate the need for edge …