Smart collaborative balancing for dependable network components in cyber-physical systems

F Song, Z Ai, H Zhang, I You, S Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The evolution of cyber-physical system (CPS) benefits from substantial supports of many
cutting-edge technologies. However, as a significant medium to bridge virtual and reality …

Faster fog computing based over-the-air vehicular updates: A transfer learning approach

M Al Maruf, A Singh, A Azim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fog computing is a promising option for time sensitive vehicular over-the-air (OTA) updates,
as it can offer enhanced network durability and lower communication delays, as compared …

Evolutionary meta-heuristic offloading and scheduling schemes enabled industrial cyber-physical system

A Lakhan, TM Groenli, G Muhammad… - IEEE Systems …, 2024 - ieeexplore.ieee.org
The industrial cyber-physical system (ICPS) is a paradigm that connects conventional
machines to cutting-edge technologies through the Internet of Things (IoT). The IoT …

Load-aware intelligent multiprocessor scheduler for time-critical cyber-physical system applications

V Padmajothi, JLM Iqbal, V Ponnusamy - Computers & Electrical …, 2022 - Elsevier
The cyber-physical system involves domains like physical, communication, and cyber
system. The time-critical tasks in the physical domain demand a quick computational …

A layer-partitioning approach for faster execution of neural network-based embedded applications in edge networks

D Saguil, A Azim - IEEE Access, 2020 - ieeexplore.ieee.org
As embedded systems become more prominent in society, the technologies that run on them
must be used efficiently. One such technology is the Neural Network (NN). NN's, combined …

Requirements-preserving design automation for multiprocessor embedded system applications

MA Maruf, A Azim - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The number of processors is increasing, but the usefulness of parallel computation is not
better leveraged due to the inflexibility of design and implementation for multiprocessor …

Joint optimisation for time consumption and energy consumption of multi‐application and load balancing of cloudlets in mobile edge computing

K Peng, H Huang, W Pan… - IET Cyber‐Physical …, 2020 - Wiley Online Library
Mobile edge computing (MEC) is an effective assistant technology that can overcome some
defects of cloud computing. For the sake of alleviating the clashes between the capability …

Cognitive mobile computing for cyber-physical systems (cps)

A Azim, M Al Maruf - Towards a Wireless Connected World: Achievements …, 2022 - Springer
Abstract Cyber-Physical Systems (CPS) are combined with sensor networks that have
embedded computing ability to sense, monitor, and control the physical environment. Due to …

Offloading safety-and mission-critical tasks via unreliable connections

L Schönberger, G von der Brüggen… - … Conference on Real …, 2020 - drops.dagstuhl.de
For many cyber-physical systems, eg, IoT systems and autonomous vehicles, offloading
workload to auxiliary processing units has become crucial. However, since this approach …

A Generalistic Approach to Machine-Learning-Supported Task Migration on Real-Time Systems

O Delgadillo, B Blieninger, J Kuhn… - Journal of Low Power …, 2022 - mdpi.com
Consolidating tasks to a smaller number of electronic control units (ECUs) is an important
strategy for optimizing costs and resources in the automotive industry. In our research, we …