Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems

A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for i...

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collection Directory of Open Access Books
description A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-683782024-04-11T15:10:18Z Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems Törngren, Martin Gürdür, Didem Fersman, Elena Aravantinos, Vincent Lawson, Harold component-based software engineering mode mode-switch complexity cyber-physical systems systems engineering uncertainty microgrid distributed design self-similar architecture plug-n-play distributed control distribution network field test autonomous cyber-physical systems resilience ethics nano-bio-info-cogno technologies smart cyber-physical systems self-generated intelligence ampliative reasoning mechanism procedural abduction data-driven system control run-time acquired data computational functions self-adaptation capability human/socially-centered applications embedded systems software component component-based development CBD GPU GPU component allocation component allocation architecture layer time-triggered system real-time adaptation scheduling multi-core real-time systems Fixed-Priority Preemptive Scheduling (FPPS) mixed-criticality systems n/a Cyber Physical Systems Reactive Systems Model-Based Design Embedded Systems Automatic Code Generation IDE Internet of Things model testing mutation testing energy consumption EAST-ADL thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology A key aspect of cyber-physical systems (CPS) is their potential for integrating information technologies with embedded control systems and physical systems to form new or improved functionalities. CPS thus draws upon advances in many areas. This positioning provides unprecedented opportunities for innovation, both within and across existing domains. However, at the same time, it is commonly understood that we are already stretching the limits of existing methodologies. In embarking towards CPS with such unprecedented capabilities, it becomes essential to improve our understanding of CPS complexity and how we can deal with it. Complexity has many facets, including complexity of the CPS itself, of the environments in which the CPS acts, and in terms of the organizations and supporting tools that develop, operate, and maintain CPS. This book is a result of a journal Special Issue, with the objective of providing a forum for researchers and practitioners to exchange their latest achievements and to identify critical issues, challenges, opportunities, and future directions for how to deal with the complexity of future CPS. The contributions include 10 papers on the following topics: (I) Systems and Societal Aspects Related to CPS and Their Complexity; (II) Model-Based Development Methods for CPS; (III) CPS Resource Management and Evolving Computing Platforms; and (IV) Architectures for CPS. 2021-05-01T15:08:29Z 2021-05-01T15:08:29Z 2021 book ONIX_20210501_9783039430208_124 9783039430208 9783039430215 https://directory.doabooks.org/handle/20.500.12854/68378 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3391 https://mdpi.com/books/pdfview/book/3391 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-021-5 10.3390/books978-3-03943-021-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039430208 9783039430215 232 Basel, Switzerland open access
spellingShingle component-based software engineering
mode
mode-switch
complexity
cyber-physical systems
systems engineering
uncertainty
microgrid
distributed design
self-similar architecture
plug-n-play
distributed control
distribution network
field test
autonomous cyber-physical systems
resilience
ethics
nano-bio-info-cogno technologies
smart cyber-physical systems
self-generated intelligence
ampliative reasoning mechanism
procedural abduction
data-driven system control
run-time acquired data
computational functions
self-adaptation capability
human/socially-centered applications
embedded systems
software component
component-based development
CBD
GPU
GPU component
allocation
component allocation
architecture layer
time-triggered system
real-time
adaptation
scheduling
multi-core
real-time systems
Fixed-Priority Preemptive Scheduling (FPPS)
mixed-criticality systems
n/a
Cyber Physical Systems
Reactive Systems
Model-Based Design
Embedded Systems
Automatic Code Generation
IDE
Internet of Things
model testing
mutation testing
energy consumption
EAST-ADL
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title_full Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title_fullStr Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title_full_unstemmed Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title_short Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber–Physical Systems
title_sort challenges and directions forward for dealing with the complexity of future smart cyber physical systems
topic component-based software engineering
mode
mode-switch
complexity
cyber-physical systems
systems engineering
uncertainty
microgrid
distributed design
self-similar architecture
plug-n-play
distributed control
distribution network
field test
autonomous cyber-physical systems
resilience
ethics
nano-bio-info-cogno technologies
smart cyber-physical systems
self-generated intelligence
ampliative reasoning mechanism
procedural abduction
data-driven system control
run-time acquired data
computational functions
self-adaptation capability
human/socially-centered applications
embedded systems
software component
component-based development
CBD
GPU
GPU component
allocation
component allocation
architecture layer
time-triggered system
real-time
adaptation
scheduling
multi-core
real-time systems
Fixed-Priority Preemptive Scheduling (FPPS)
mixed-criticality systems
n/a
Cyber Physical Systems
Reactive Systems
Model-Based Design
Embedded Systems
Automatic Code Generation
IDE
Internet of Things
model testing
mutation testing
energy consumption
EAST-ADL
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet component-based software engineering
mode
mode-switch
complexity
cyber-physical systems
systems engineering
uncertainty
microgrid
distributed design
self-similar architecture
plug-n-play
distributed control
distribution network
field test
autonomous cyber-physical systems
resilience
ethics
nano-bio-info-cogno technologies
smart cyber-physical systems
self-generated intelligence
ampliative reasoning mechanism
procedural abduction
data-driven system control
run-time acquired data
computational functions
self-adaptation capability
human/socially-centered applications
embedded systems
software component
component-based development
CBD
GPU
GPU component
allocation
component allocation
architecture layer
time-triggered system
real-time
adaptation
scheduling
multi-core
real-time systems
Fixed-Priority Preemptive Scheduling (FPPS)
mixed-criticality systems
n/a
Cyber Physical Systems
Reactive Systems
Model-Based Design
Embedded Systems
Automatic Code Generation
IDE
Internet of Things
model testing
mutation testing
energy consumption
EAST-ADL
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20210501_9783039430208_124