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 Identifying Promising Application Areas for Cyber-Physical and Complex Event Processing in Logistics Practice

Logistics ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 23
Author(s):  
Cyril Alias ◽  
Frank Alarcón Olalla ◽  
Hauke Iwersen ◽  
Julius Ollesch ◽  
Bernd Noche
Keyword(s):  
Cyber Physical Systems ◽  
Complex Event Processing ◽  
Event Processing ◽  
Use Case ◽  
Logistics Industry ◽  
Physical Systems ◽  
Case Examples ◽  
Promising Application ◽  
Cost Efficient ◽  
Huge Challenge

In the course of the ongoing era of digitization, cyber-physical systems and complex event processing belong to the most discussed technologies nowadays. The huge challenge that digitization is forming to the transportation and logistics sector is largely accepted by the responsible organizations. Despite initial steps being taken towards digitized value-creation, many professionals wonder about how to realize the ideas and stumble with the precise steps to be taken. With the vision of smart logistics in mind and cost-efficient technologies available, they require a systematic methodology to exploit the potentials accompanying digitization. With the help of an effective and targeted workshop procedure, potentially appropriate application areas with promising benefit potentials can be identified effectively. Such a workshop procedure needs to be a stepwise approach in order to carefully consider all the relevant aspects and to allow for organizational acceptance to grow. In three real-world use case examples from different areas of the transportation and logistics industry, promising applications of cyber-physical systems and complex event processing are identified and pertaining event patterns of critical situations developed in order to make realization easier at a later stage. Each use case example exhibits a frequently occurring problem that can be effectively addressed by using the above-mentioned technology.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document