Advanced CPS for Industry 4.0
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (15 January 2018) | Viewed by 16267
Special Issue Editor
Interests: wireless sensor and actuator networks; middleware for sensor and actuator networks; vehicular sensor networks; edge computing; fog computing; online stream processing of sensing dataflows; IoT and big data processing; pervasive and mobile computing; cooperative networking; cyber physical systems for Industry 4.0
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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
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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 monthly 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 1800 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
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