Building Scalable Mobile Edge Computing by Enhancing Quality of Services

Tiwary, M; Sharma, S; Mishra, P; El-Sayed, H; Prasad, M; Puthal, D

Building Scalable Mobile Edge Computing by Enhancing Quality of Services

Tiwary, M Sharma, S Mishra, P El-Sayed, H Prasad, M

Puthal, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018, 2019, pp. 141 - 146
Issue Date:: 2019-01-08

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Field	Value	Language
dc.contributor.author	Tiwary, M	en_US
dc.contributor.author	Sharma, S	en_US
dc.contributor.author	Mishra, P	en_US
dc.contributor.author	El-Sayed, H	en_US
dc.contributor.author	Prasad, M https://orcid.org/0000-0001-9719-2253	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.date.issued	2019-01-08	en_US
dc.identifier.citation	Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018, 2019, pp. 141 - 146	en_US
dc.identifier.isbn	9781538666739	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132204
dc.description.abstract	© 2018 IEEE. With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.	en_US
dc.relation.ispartof	Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018	en_US
dc.relation.isbasedon	10.1109/INNOVATIONS.2018.8605955	en_US
dc.title	Building Scalable Mobile Edge Computing by Enhancing Quality of Services	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.

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http://hdl.handle.net/10453/132204