An offloading approach in fog computing environment

Tang, W; Li, S; Rafique, W; Dou, W; Yu, S

An offloading approach in fog computing environment

Tang, W Li, S Rafique, W Dou, W Yu, S

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, 2018, pp. 857 - 864
Issue Date:: 2018-12-04

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Field	Value	Language
dc.contributor.author	Tang, W	en_US
dc.contributor.author	Li, S	en_US
dc.contributor.author	Rafique, W	en_US
dc.contributor.author	Dou, W	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.date.issued	2018-12-04	en_US
dc.identifier.citation	Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, 2018, pp. 857 - 864	en_US
dc.identifier.isbn	9781538693803	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132683
dc.description.abstract	© 2018 IEEE. Fog computing has emerged as a promising infrastructure to provide elastic resources at the proximity of mobile users. Currently, to offload some computational tasks from mobile devices to Fog servers comes the main stream to improve the quality of experience (QoE) of mobile users. In fact, due to the high speed for moving vehicles on expressway, there would be a lot of candidate Fog servers in Fog environment for them to offload their computational workload. However, which Fog server should be selected to utilize and how much computation should be offloaded so as to meet the corresponding task's deadline without large computing bill are still lack of discussion. To address this problem, we propose a deadline-aware and cost effective offloading approach which aims to improve offloading efficiency for vehicles, and let more tasks meet their deadlines in this paper. The proposed approach has been validated its feasibility and efficiency by extensive experiments.	en_US
dc.relation.ispartof	Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018	en_US
dc.relation.isbasedon	10.1109/SmartWorld.2018.00157	en_US
dc.title	An offloading approach in fog computing environment	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Fog computing has emerged as a promising infrastructure to provide elastic resources at the proximity of mobile users. Currently, to offload some computational tasks from mobile devices to Fog servers comes the main stream to improve the quality of experience (QoE) of mobile users. In fact, due to the high speed for moving vehicles on expressway, there would be a lot of candidate Fog servers in Fog environment for them to offload their computational workload. However, which Fog server should be selected to utilize and how much computation should be offloaded so as to meet the corresponding task's deadline without large computing bill are still lack of discussion. To address this problem, we propose a deadline-aware and cost effective offloading approach which aims to improve offloading efficiency for vehicles, and let more tasks meet their deadlines in this paper. The proposed approach has been validated its feasibility and efficiency by extensive experiments.

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http://hdl.handle.net/10453/132683