Modelling and Simulation of the Dynamics of Complex Socio-Cyber-Physical Systems and Large Scale Systems of Systems all Along Their Lifetime

2016 ◽  
pp. 71-81
Author(s):  
Nguyen Thuy
Keyword(s):  
Large Scale ◽  
Cyber Physical Systems ◽  
Modelling And Simulation ◽  
Systems Of Systems ◽  
Large Scale Systems ◽  
Physical Systems

Data quality challenges in large-scale cyber-physical systems: A systematic review

2021 ◽  
pp. 101951
Author(s):  
Ahmed Abdulhasan Alwan ◽  
Mihaela Anca Ciupala ◽  
Allan J. Brimicombe ◽  
Seyed Ali Ghorashi ◽  
Andres Baravalle ◽  
...  
Keyword(s):  
Systematic Review ◽  
Data Quality ◽  
Large Scale ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Methods for Large-Scale Time-Triggered Network Scheduling

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 738 ◽  
Author(s):  
Francisco Pozo ◽  
Guillermo Rodriguez-Navas ◽  
Hans Hansson
Keyword(s):  
Wireless Networks ◽  
Large Scale ◽  
Synthesis Method ◽  
Cyber Physical Systems ◽  
Network Scheduling ◽  
Synthesis Time ◽  
Physical Systems ◽  
Large Size ◽  
Np Complete ◽  
Communication Schedule

Future cyber–physical systems may extend over broad geographical areas, like cities or regions, thus, requiring the deployment of large real-time networks. A strategy to guarantee predictable communication over such networks is to synthesize an offline time-triggered communication schedule. However, this synthesis problem is computationally hard (NP-complete), and existing approaches do not scale satisfactorily to the required network sizes. This article presents a segmented offline synthesis method which substantially reduces this limitation, being able to generate time-triggered schedules for large hybrid (wired and wireless) networks. We also present a series of algorithms and optimizations that increase the performance and compactness of the obtained schedules while solving some of the problems inherent to segmented approaches. We evaluate our approach on a set of realistic large-size multi-hop networks, significantly larger than those considered in the existing literature. The results show that our segmentation reduces the synthesis time by up to two orders of magnitude.

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