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Fog over virtualized IoT: new opportunity for context-aware networked applications and a case study

Naranjo, Paola GV, Pooranian, Zahra, Shamshirband, Shahaboddin, Abawajy, Jemal H and Conti, Mauro 2017, Fog over virtualized IoT: new opportunity for context-aware networked applications and a case study, Applied sciences, vol. 7, no. 12, pp. 1-13, doi: 10.3390/app7121325.

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Title Fog over virtualized IoT: new opportunity for context-aware networked applications and a case study
Author(s) Naranjo, Paola GV
Pooranian, Zahra
Shamshirband, Shahaboddin
Abawajy, Jemal HORCID iD for Abawajy, Jemal H orcid.org/0000-0001-8962-1222
Conti, Mauro
Journal name Applied sciences
Volume number 7
Issue number 12
Article ID 1325
Start page 1
End page 13
Total pages 13
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2017-12
ISSN 2076-3417
Keyword(s) vehicular fog computing
big data streaming
energy-efficiency
resource management
infrastructure-to-vehicular
Summary In this paper, we discuss the most significant application opportunities and outline the challenges in real-time and energy-efficient management of the distributed resources available in mobile devices and at the Internet-to-Data Center. We also present an energy-efficient adaptive scheduler for Vehicular Fog Computing (VFC) that operates at the edge of a vehicular network, connected to the served Vehicular Clients (VCs) through an Infrastructure-to-Vehicular (I2V) over multiple Foglets (Fls). The scheduler optimizes the energy by leveraging the heterogeneity of Fls, where the Fl provider shapes the system workload by maximizing the task admission rate over data transfer and computation. The presented scheduling algorithm demonstrates that the resulting adaptive scheduler allows scalable and distributed implementation.
Language eng
DOI 10.3390/app7121325
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106001

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.