Scalable platforms and advanced algorithms for IoT and cyber-enabled applications

In recent years, with the development of highly distributed cyber–physical systems across physical, social, and mental spaces, researchers have been increasingly interested in developing a variety of cyber-enabled applications. More and more people are engaged into this vortex of cyber technology re...

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Published in:Journal of Parallel and Distributed Computing Vol. 118; pp. 1 - 4
Main Authors: Zhou, Xiaokang, Xu, Guangquan, Ma, Jianhua, Ruchkin, Ivan
Format: Journal Article
Language:English
Japanese
Published: Elsevier Inc 01.08.2018
Elsevier BV
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ISSN:0743-7315, 1096-0848
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Abstract In recent years, with the development of highly distributed cyber–physical systems across physical, social, and mental spaces, researchers have been increasingly interested in developing a variety of cyber-enabled applications. More and more people are engaged into this vortex of cyber technology revolutions, due to the rapid growth of a series of emerging technologies and computing paradigms, such as IoT technology and smart computing. Computational models and advanced algorithms are designed and developed to provide the cyber-related smart services in the integrated cyberspace. This special issue aims at promoting the design of practical algorithm and scalable platform in terms of high performance computing and parallelism across cyber–physical–social–mental systems. A summary of the selected papers is addressed to introduce the current solutions and achievements with respect of cyber technologies. Specifically, topics among the selected papers include heterogeneous data processing and management for IoT and cyber-enabled applications, smart energy system development, algorithms and applications based on sensor networks, cyber-related trust model and verification mechanism, and security and safety issues, which may provide a vision of the provision of cyber-enabled applications in the future.
AbstractList In recent years, with the development of highly distributed cyber–physical systems across physical, social, and mental spaces, researchers have been increasingly interested in developing a variety of cyber-enabled applications. More and more people are engaged into this vortex of cyber technology revolutions, due to the rapid growth of a series of emerging technologies and computing paradigms, such as IoT technology and smart computing. Computational models and advanced algorithms are designed and developed to provide the cyber-related smart services in the integrated cyberspace. This special issue aims at promoting the design of practical algorithm and scalable platform in terms of high performance computing and parallelism across cyber–physical–social–mental systems. A summary of the selected papers is addressed to introduce the current solutions and achievements with respect of cyber technologies. Specifically, topics among the selected papers include heterogeneous data processing and management for IoT and cyber-enabled applications, smart energy system development, algorithms and applications based on sensor networks, cyber-related trust model and verification mechanism, and security and safety issues, which may provide a vision of the provision of cyber-enabled applications in the future.
Author Ruchkin, Ivan
Zhou, Xiaokang
Xu, Guangquan
Ma, Jianhua
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  surname: Ruchkin
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  organization: School of Computer Science, Carnegie Mellon University, Pittsburgh 15213, USA
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Keywords IoT technology
Distributed cyber–physical systems
Cyber-enabled applications
Parallel and distributed algorithm
Scalable platform
Cyberspace
Language English
Japanese
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SubjectTerms Cyber-enabled applications
Cyberspace
Distributed cyber–physical systems
IoT technology
Parallel and distributed algorithm
Scalable platform
Title Scalable platforms and advanced algorithms for IoT and cyber-enabled applications
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