Fractionated Software for Networked Cyber-Physical Systems: Research Directions and Long-Term Vision

2011 ◽  
pp. 110-143 ◽  
Author(s):  
Mark-Oliver Stehr ◽  
Carolyn Talcott ◽  
John Rushby ◽  
Pat Lincoln ◽  
Minyoung Kim ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Research Directions ◽  
Physical Systems ◽  
Systems Research

scholarly journals Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 105 ◽  
Author(s):  
Ankur Vora ◽  
Kyoung-Don Kang
Keyword(s):  
Resource Allocation ◽  
Dynamic Programming Algorithm ◽  
Cyber Physical Systems ◽  
Programming Algorithm ◽  
Cross Layer ◽  
Communication Performance ◽  
Physical Systems ◽  
Downlink Scheduling ◽  
Machine Type Communication

In emerging Cyber-Physical Systems (CPS), the demand for higher communication performance and enhanced wireless connectivity is increasing fast. To address the issue, in our recent work, we proposed a dynamic programming algorithm with polynomial time complexity for effective cross-layer downlink Scheduling and Resource Allocation (SRA) considering the channel and queue state, while supporting fairness. In this paper, we extend the SRA algorithm to consider 5G use-cases, namely enhanced Machine Type Communication (eMTC), Ultra-Reliable Low Latency Communication (URLLC) and enhanced Mobile BroadBand (eMBB). In a simulation study, we evaluate the performance of our SRA algorithm in comparison to an advanced greedy cross-layer algorithm for eMTC, URLLC and LTE (long-term evolution). For eMTC and URLLC, our SRA method outperforms the greedy approach by up to 17.24%, 18.1%, 2.5% and 1.5% in terms of average goodput, correlation impact, goodput fairness and delay fairness, respectively. In the case of LTE, our approach outperforms the greedy method by 60%, 2.6% and 1.6% in terms of goodput, goodput fairness and delay fairness compared with tested baseline.

Monitoring and Control of Dual-Arm Industrial Robot Tasks Using IoT Application and Services

2015 ◽  
Vol 762 ◽  
pp. 255-260 ◽  
Author(s):  
Mircea Murar ◽  
Stelian Brad
Keyword(s):  
Experimental Testing ◽  
Industrial Robot ◽  
Cyber Physical Systems ◽  
Monitoring And Control ◽  
Research Directions ◽  
Physical Systems ◽  
Selection For ◽  
Robot Tasks ◽  
And Control ◽  
Dual Arm

In the context of latest technological revolution, Industry 4.0, connectivity and therefore access and control of cyber-physical systems and resources from any place, at any time by any means represent a technological enabler of crucial importance. The first part of this paperwork contains a brief introduction of cyber-physical systems and IoT concepts, together with a review of major IoT providers. The second part introduces an approach towards achieving connectivity and remote control of task selection for a dual-arm industrial robot using a commercially available IoT infrastructure and technology provided by ioBridge. Within the third part, details about experimental testing and evaluation of the selected solutions are presented. The last part is allocated for conclusions and further research directions.

Long-Term Event Processing over Data Streams in Cyber-Physical Systems

2018 ◽  
Vol 2 (2) ◽  
pp. 1-23
Author(s):  
Ping Wang ◽  
Meng Ma ◽  
Chao-Hsien Chu
Keyword(s):  
Data Streams ◽  
Cyber Physical Systems ◽  
Event Processing ◽  
Physical Systems

scholarly journals Challenges and Research Directions in Medical Cyber–Physical Systems

2012 ◽  
Vol 100 (1) ◽  
pp. 75-90 ◽  
Author(s):  
Insup Lee ◽  
O. Sokolsky ◽  
Sanjian Chen ◽  
J. Hatcliff ◽  
Eunkyoung Jee ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Research Directions ◽  
Physical Systems

Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach

2019 ◽  
Author(s):  
Nikhil Muralidhar ◽  
Sathappan Muthiah ◽  
Kiyoshi Nakayama ◽  
Ratnesh Sharma ◽  
Naren Ramakrishnan
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems

Designs ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 52 ◽  
Author(s):  
Daniela Cancila ◽  
Jean-Louis Gerstenmayer ◽  
Huascar Espinoza ◽  
Roberto Passerone
Keyword(s):  
Artificial Intelligence ◽  
Cyber Physical Systems ◽  
Paradigm Change ◽  
Safety Engineering ◽  
Technical Aspects ◽  
Physical Systems ◽  
Safety Critical ◽  
New Knowledge ◽  
Self Adaptation

Autonomous and Adaptative Cyber-Physical Systems (ACPS) represent a new knowledge frontier of converging “nano-bio-info-cogno” technologies and applications. ACPS have the ability to integrate new `mutagenic’ technologies, i.e., technologies able to cause mutations in the society. Emerging approaches, such as artificial intelligence techniques and deep learning, enable exponential speedups for supporting increasingly higher levels of autonomy and self-adaptation. In spite of this disruptive landscape, however, deployment and broader adoption of ACPS in safety-critical scenarios remains challenging. In this paper, we address some challenges that are stretching the limits of ACPS safety engineering, including tightly related aspects such as ethics and resilience. We argue that a paradigm change is needed that includes the entire socio-technical aspects, including trustworthiness, responsibility, liability, as well as the ACPS ability to learn from past events, anticipate long-term threads and recover from unexpected behaviors.

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