Special Issue "Advanced CPS for Industry 4.0"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 31 October 2017

Special Issue Editor

Editor-in-Chief
Prof. Dr. Paolo Bellavista

DISI - University of Bologna Viale del Risorgimento, 2 - 40136 Bologna - Italy
Website | E-Mail
Phone: +39-051-20 93866
Fax: +39-051-20 93953
Interests: middleware; mobile and pervasive computing; context-aware systems; network function virtualization; software defined infrastructures; orchestration of cloud and network resources; context-aware systems; Internet of Things; vehicular ad hoc networks

Special Issue Information

Dear Colleagues,

This Special Issue has the ambition to give a fresh overview of the recent advancements on Cyber Physical System (CPS) solutions for efficient industry processes, in particular about technical challenges and solutions for scalability in cloud-integrated CPS.

The evolution of embedded systems into innovative CPS is critical to enabling the development of many innovative products, services, and applications in developed economies. Making the design; development; implementation; deployment; and runtime monitoring, tuning, and management of CPS applications more efficient is central to both the growing of the global CPS market and the advancement of industrial processes (Industry 4.0), in particular, in terms of efficiency. Middleware could play a critical role in this process, as could the efficient integration of CPS with cloud resources, which is crucial for achieving scalability in large-scale deployments, such as smart cities.

This Special Issue aims to address these important issues, particularly achieving scalability via efficient and cost-effective integration with cloud resources. The Special Issue will cover the latest developments in models, methodologies, technical solutions, and large-scale industrial experiences relating to efficient and scalable middleware and application software for cloud-integrated CPS. Appropriate topics include, but are not limited to:

  • Efficient solutions for determining and integrating sensor/actuator localities via the cloud
  • Scalability-oriented topology organization of sensor/actuator localities
  • Edge computing and mobile edge computing for scalable CPS–cloud integration
  • Federated management of heterogeneous cloud resources integrated with wide-scale CPS
  • Programming abstractions and models for cloud-integrated CPS
  • Sensor/actuator-hosted middleware for scalable integration with CPS gateways
  • Gateway-hosted middleware for scalable CPS
  • Cloud-hosted middleware for scalable and time-constrained CPS
  • Flexible resource allocation and workload mobility of cloud-integrated CPS
  • Data/actuation quality requirements and guarantees for large-scale CPS
  • Offline big data analytics and online stream processing for scalable CPS
  • Experimental studies of large industrial testbeds for scalable cloud-integrated CPS
  • Lessons learned from large-scale deployments of cloud-integrated CPS
  • Scalable security and privacy management in wide-scale cloud-integrated CPS

Prof. Dr. Paolo Bellavista
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Keywords

  • Cyber Physical Systems (CPS)
  • Industry 4.0
  • Sensors
  • Actuators
  • Cloud Computing
  • Middleware
  • Edge and Fog Computing

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Advanced CPS, Physical Internet, Internet of Things and Artificial Intelligence – Recent Developments Hurdles and Interactions
Author: Matthias Klumpp 1,2
Affiliation: 1 Department of Industrial Engineering and Business Information Systems, University of Twente, Enschede, The Netherlands
2 Institute for Logistics and Service Management, FOM University of Applied Sciences, Essen, Germany
Abstract: Recent advances in the areas of Cyber-Physical Systems (CPS) in the production area, Physical Internet (PI) and Internet of Things (IoT) in the logistics and transportation area as well as Artificial Intelligence (AI) in the informatics field have induced a tremendous growth and innovation potential for global value chain setups. The question is not if further innovation and automation will happen but when – sooner than later – and how.  Independent of physical production innovations (additive manufacturing) the information integration and decision autonomy tendencies themselves will drive new supply chain and customer interaction designs and business models. This article presents a technology forecast model based on extensive descriptions of developments by field as well as interaction traits.

Title: Agile Service Engineering for Industry 4.0 Applications
Author: Dr. Thomas Usländer
Affiliation: Fraunhofer IOSB, Germany
Abstract: The term "Industry 4.0" denotes the advent of the fourth industrial revolution which will be characterized by the optimized and networked use of information across the complete life cycles of both products and production assets. The exploitation of Industrie 4.0 paradigms in terms of economic benefit, flexibility and better-informed decision taking requires the availability and provision of adequate information across all engineering and production value chains in an interoperable way, preferably based upon international standards. Up to now, a hierarchical structure of information technology (IT) systems, the so-called automation pyramid, is predominant in industrial production environments. This leads to a separation of office and production networks that shield the safety- and real-time critical field and controller level from inadequate access from upper levels and remote users. Now, with the application of the paradigms of the Industrial Internet of Things (IIoT), there is an architectural trend towards a mash-up of networked smart devices and services, deployed within and across enterprises as cyber-physical systems (CPS). This paper considers this architectural IT paradigm shift from the engineering perspective. In addition to the engineering of products and associated production plants, there is an increasing need to systematically analyze the use cases and requirements for associated services and to design them according to the concepts and constraints of the Reference Architecture Model Industry 4.0 (RAMI4.0), security goals and the existing capabilities and services of the emerging IIoT platforms.

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