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Manufacturing big data ecosystem: A systematic literature review
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …
Recent advances on industrial data-driven energy savings: Digital twins and infrastructures
Data-driven models for industrial energy savings heavily rely on sensor data,
experimentation data and knowledge-based data. This work reveals that too much research …
experimentation data and knowledge-based data. This work reveals that too much research …
Big Data and cloud computing: innovation opportunities and challenges
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …
and opportunities to improve and/or enable research and decision-support applications with …
Understanding cloud-native applications after 10 years of cloud computing-a systematic map** study
N Kratzke, PC Quint - Journal of Systems and Software, 2017 - Elsevier
It is common sense that cloud-native applications (CNA) are intentionally designed for the
cloud. Although this understanding can be broadly used it does not guide and explain what …
cloud. Although this understanding can be broadly used it does not guide and explain what …
A review of cyber-physical system research relevant to the emerging IT trends: industry 4.0, IoT, big data, and cloud computing
JH Kim - Journal of industrial integration and management, 2017 - World Scientific
Recently, there has been an explosive growth in the development and implementation of
various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and …
various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and …
Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories
Factories use many manufacturing processes that consume a lot of energy and highly
contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet …
contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet …
Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems
The optimization and monitoring of the energy consumption of machinery lead to a
sustainable and efficient industry. For this reason and following a digital twin strategy, an …
sustainable and efficient industry. For this reason and following a digital twin strategy, an …
Big data applications to take up major challenges across manufacturing industries: A brief review
Growing population and depleting resources are forcing the manufacturers to become more
competent and sustainable. Customers are becoming more and more informed about the …
competent and sustainable. Customers are becoming more and more informed about the …
Delay mitigation in offloaded cloud controllers in industrial IoT
This paper investigates the interplay of cloud computing, fog computing, and Internet of
Things (IoT) in control applications targeting the automation industry. In this context, a …
Things (IoT) in control applications targeting the automation industry. In this context, a …
Internet of Things (IoT) and the digital business environment: a standpoint inclusive cyber space, cyber crimes, and cybersecurity
Internet of Things (IoT) has a strong backbone support via enhanced developments in the
area of RFID, smart sensors, communication technologies, and internet protocols. The …
area of RFID, smart sensors, communication technologies, and internet protocols. The …