Traffic scheduling with sustainable Cyber Physical Systems applying in smart grid

Song-xi, Liu; Wang, Qinghua; Wu, Han; Fan, Yuanliang; Peng, Hui; Zhang, Gong-lin; Pen, Haibo

doi:10.1109/igcc.2016.7892587

Cited by 1 publication

(3 citation statements)

References 18 publications

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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%

“…High performance real-time scheduling [39] Changing the system's criticality to achieve fair scheduling of functions whose criticality levels are larger than or equal to the system's criticality Distributed data traffic scheduling [40] Scheduling strategy considering transmission time delays. Modas [41] Distribute agent algorithm to achieve multi-QoS requirements. Effective scheduling for CPS society [42] Scheduling strategy considering physical systems society factors.…”

Section: Workmentioning

confidence: 99%

“…In addition, the independent functioning of the nodes which could have their own workload makes those schemes difficult to apply in practice. The current proposals for CPS environments provide different contributions and aim to include additional methods to overcome these issues such as different criticality level of the tasks [37][38][39]47], mathematical techniques [27,35,44], agents [41], and control mechanisms [46]. Other works deal with network and physical dynamic issues [36,40,42,43].…”

Section: Workmentioning

confidence: 99%

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Distributed computational model for shared processing on Cyber-Physical System environments

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  A computation model to distribute the application workload over the CPS is proposed.  The scheduling method dynamically shares the tasks among the computing nodes of the CPS.  This approach facilitates the networking and integration of heterogeneous computer devices.

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