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A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges
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 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
Abstract Progress in Information and Communication Technologies (ICTs) is sha** more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
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
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 …
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 …
computational problems. While conventional methods, architectures, and processing …
Is big data performance reproducible in modern cloud networks?
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 …
practitioners and performance engineers. Yet, our survey of top systems conferences …
Moshpit sgd: Communication-efficient decentralized training on heterogeneous unreliable devices
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 …
compute nodes. This approach, known as distributed training, can utilize hundreds of …
Cloud storage cost: a taxonomy and survey
Cloud service providers offer application providers with virtually infinite storage and
computing resources, while providing cost-efficiency and various other quality of service …
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
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …
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 …
an industrial landscape. Especially, the data-intensive workflows from IoT systems require to …
Revisiting the arguments for edge computing research
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 …
infrastructure, and data privacy and sovereignty continue to motivate the need for edge …