2018
DOI: 10.1109/access.2018.2878681
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Big Data Meet Cyber-Physical Systems: A Panoramic Survey

Abstract: The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which are foreseen to revolutionize our world via creating new services and applications in a variety of sectors such as environmental monitoring, mobilehealth systems, intelligent transportation systems and so on. The information and communication technology (ICT) sector is experiencing a significant growth in data traffic, driven by the widespread usage of smartphones, tablets and video streaming, along with the significant grow… Show more

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Cited by 197 publications
(106 citation statements)
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References 304 publications
(456 reference statements)
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“…The application architecture provides application services centric view of systems that ties business functions and smart services to application components alignment (Atat et al 2018). The application architecture encompasses applications that process, utilise and transform processed data, analysed data and third-party data (for improvement of smart services or analytics) sources into useful information (Wu et al 2016;.…”
Section: Enterprise Architecture In Digital Transformation For Smartementioning
confidence: 99%
“…The application architecture provides application services centric view of systems that ties business functions and smart services to application components alignment (Atat et al 2018). The application architecture encompasses applications that process, utilise and transform processed data, analysed data and third-party data (for improvement of smart services or analytics) sources into useful information (Wu et al 2016;.…”
Section: Enterprise Architecture In Digital Transformation For Smartementioning
confidence: 99%
“…attached to mobile nodes [4]. The real-time information such as the activity rules and interaction records of the nodes can be obtained in real time to analyze the key feature influencing the social relations and explore the internal relations among them [16,17]. Quantifying social relations can more objectively and accurately reflect the changes in the relationship between mobile nodes.…”
Section: Social Characteristics Analysis Of Nodesmentioning
confidence: 99%
“…Through the above analysis, it can be seen that social relations are inherent manifestations of different modes of interaction among nodes and involve a variety of factors. Considering the complex and diverse characteristics [16,17,19] of the interaction patterns among nodes in the information delivery service for opportunistic social networks, we introduce various types of decision features to describe the spatial and temporal characteristics of social relations of nodes. Through the collection, analysis of the history record of connections between nodes and calculating interactive quality feature Q between each other, the interaction rules between each other are found out.…”
Section: Social Characteristics Analysis Of Nodesmentioning
confidence: 99%
“…When considering e-science as a single system; we see that it solves problems from different subsystems. Information support of science, scientometric analysis, intelligent analysis, and scientific data lead to the generation of big data [29]. The integration of CPS into this environment also plays the role of a generator for quickly increasing big data.…”
Section: Processing Of Scientific Datamentioning
confidence: 99%