S2R: Service trading based response time optimization in mobile edge computing

Mishra, P; Tiwary, M; Yang, LT; Puthal, D

S2R: Service trading based response time optimization in mobile edge computing

Mishra, P Tiwary, M Yang, LT Puthal, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, 2019, pp. 684 - 691
Issue Date:: 2019-03-20

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Field	Value	Language
dc.contributor.author	Mishra, P	en_US
dc.contributor.author	Tiwary, M	en_US
dc.contributor.author	Yang, LT	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.date.issued	2019-03-20	en_US
dc.identifier.citation	Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, 2019, pp. 684 - 691	en_US
dc.identifier.isbn	9781728111414	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134652
dc.description.abstract	© 2018 IEEE. New caching forms coupled with Mobile Edge Computing (MEC) supports new computing architecture at the physical proximity of the end-users. One of the similar architectures is mobile cloudlet, where a smartphone offers computations to another smartphone. However, the mobile edge computing architecture still has lots of issues related to response time optimization and resource provisioning. This paper focuses on a novel auction strategy to optimize resource utilization and as a result, proposed scheme minimizes the response time. The auction scheme is developed using multiple-leader and multiplefollower Stackelberg game model, which optimizes the utility of both users and mobile edges using non-cooperative approach for users and co-operative approach for mobile edges. Finally, the proposed scheme is simulated in NS3 environment and compared with existing schemes to validate the performance of proposed scheme. We observe that with the proposed scheme, there is a steep increase in overall utility in terms of response time and resource utilization.	en_US
dc.relation.ispartof	Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018	en_US
dc.relation.isbasedon	10.1109/BDCloud.2018.00104	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	S2R: Service trading based response time optimization in mobile edge computing	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. New caching forms coupled with Mobile Edge Computing (MEC) supports new computing architecture at the physical proximity of the end-users. One of the similar architectures is mobile cloudlet, where a smartphone offers computations to another smartphone. However, the mobile edge computing architecture still has lots of issues related to response time optimization and resource provisioning. This paper focuses on a novel auction strategy to optimize resource utilization and as a result, proposed scheme minimizes the response time. The auction scheme is developed using multiple-leader and multiplefollower Stackelberg game model, which optimizes the utility of both users and mobile edges using non-cooperative approach for users and co-operative approach for mobile edges. Finally, the proposed scheme is simulated in NS3 environment and compared with existing schemes to validate the performance of proposed scheme. We observe that with the proposed scheme, there is a steep increase in overall utility in terms of response time and resource utilization.

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http://hdl.handle.net/10453/134652