Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

Dependable scheduling for real-time workflows on cyber–physical cloud systems

J Zhou, J Sun, M Zhang, Y Ma - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Cyber-physical cloud systems (CPCS) are integrations of cyber-physical systems (CPS) and
cloud computing infrastructures. Integrating CPS into cloud computing infrastructures could …

Mobile cyber physical systems: Current challenges and future networking applications

Y Guo, X Hu, B Hu, J Cheng, M Zhou, RYK Kwok - IEEE Access, 2017 - ieeexplore.ieee.org
Mobile cyber-physical systems (CPS) that take the advantages and extend the application
domains of CPS have become increasingly popular in recent years. For example, mobile …

Green energy forecast-based bi-objective scheduling of tasks across distributed clouds

J Bi, H Yuan, J Zhang, MC Zhou - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Current large-scale green cloud data centers (GCDCs) tend to consume a huge amount of
energy and generate enormous carbon emissions. Existing studies have tried to solve this …

An efficient industrial big-data engine

P Basanta-Val - IEEE Transactions on Industrial Informatics, 2017 - ieeexplore.ieee.org
Current trends in industrial systems opt for the use of different big-data engines as a means
to process huge amounts of data that cannot be processed with an ordinary infrastructure …

Real-time task processing method based on edge computing for spinning CPS

S Yin, J Bao, J Li, J Zhang - Frontiers of Mechanical Engineering, 2019 - Springer
Spinning production is a typical continuous manufacturing process characterized by high
speed and uncertain dynamics. Each manufacturing unit in spinning production produces …

An online and scalable model for generalized sparse nonnegative matrix factorization in industrial applications on multi-GPU

H Li, K Li, J An, K Li - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Generalized sparse nonnegative matrix factorization (SNMF) has been proven useful in
extracting information and representing sparse data with various types of probabilistic …

Modeling more software performance antipatterns in cyber-physical systems

R Pinciroli, CU Smith, C Trubiani - Software and Systems Modeling, 2024 - Springer
The design of cyber-physical systems (CPS) is challenging due to the heterogeneity of
software and hardware components that operate in uncertain environments (eg, fluctuating …

[PDF][PDF] 云端融合的工业互联网体系结构及关键技术

罗军舟, 何源, 张兰, 刘亮, 孙茂杰… - Journal of Frontiers of …, 2020 - researchgate.net
摘要随着物联网, 云计算和大数据等技术的发展, 人类正迈入第四次工业革命时代.
工业互联网作为建立在生产对象之间, 对象与外部环境之间, 对象与人之间高度协同 …

Power control for cognitive users of perception layer in complex industrial CPS based on DQN

X Zhang, J Li - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless communication is a significant auxiliary technology of data transmission for
industrial Cyber-Physical system (CPS). While for the complex industrial scenario of coal …