2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computi 2014
DOI: 10.1109/uic-atc-scalcom.2014.97
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Task Scheduling in Cyber-Physical Systems

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Cited by 6 publications
(5 citation statements)
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“…Most of the previous works are focused on real-time [27, 35-39, 42, 45] and other performance criteria [40,41,43,44,46,47]. As they corroborate, the standard scheduling algorithms for distributed systems cannot satisfy the requirements in CPS environments.…”
Section: Workmentioning
confidence: 88%
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“…Most of the previous works are focused on real-time [27, 35-39, 42, 45] and other performance criteria [40,41,43,44,46,47]. As they corroborate, the standard scheduling algorithms for distributed systems cannot satisfy the requirements in CPS environments.…”
Section: Workmentioning
confidence: 88%
“…New task modeling [45] New periodic, fault-tolerant CPS task model. Flat Semi-Dormant Multi-Controllers [46] Considers an arbitrated networked control systems and a wakeup mechanism on the communication system Comprehensive resource scheduling strategy [47] Dynamic multi-priority scheduling at node network and at comp. center.…”
Section: Workmentioning
confidence: 99%
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“…As physical equipment, their queues, and the incoming job traffic are interconnected in the CPSF, every station will have the ability to take local decisions with global shop-floor information. This approach has already been considered by Liu et al (2014) as they proposed to use a dynamic multi-priority sequencing procedure for node task sequencing in a CPSF.…”
Section: The Fit Between Cps and Manufacturing Contexts For Competitimentioning
confidence: 99%
“…Based on approach of scheduling in CPS [10], the physical network is modeled as a graph, where each node represent a secondary base-station. A spectrum manager unit is represented by a clique that connecting multiple nodes.…”
Section: Cyber Physical Systems-based Approachmentioning
confidence: 99%