Simulation-based optimization for admission control of mobile cloudlets

Hoang, DT; Niyato, D; Le, LB

Simulation-based optimization for admission control of mobile cloudlets

Hoang, DT Niyato, D Le, LB

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2014 IEEE International Conference on Communications, ICC 2014, 2014, pp. 3764-3769
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Hoang, DT
dc.contributor.author	Niyato, D
dc.contributor.author	Le, LB
dc.contributor.editor	Jamalipour, A
dc.contributor.editor	Deng, DJ
dc.date	2014-06-10
dc.date.accessioned	2023-03-21T05:30:24Z
dc.date.available	2023-03-21T05:30:24Z
dc.date.issued	2014-01-01
dc.identifier.citation	2014 IEEE International Conference on Communications, ICC 2014, 2014, pp. 3764-3769
dc.identifier.isbn	9781479920037
dc.identifier.issn	1550-3607
dc.identifier.uri	http://hdl.handle.net/10453/167964
dc.description.abstract	This paper considers an admission control problem for a mobile cloud computing hotspot with a cloudlet. We first formulate the admission control problem as a Markov decision process (MDP). The objective is to maximize the average reward in terms of revenue for cloudlet service providers. However, the MDP could suffer from the complexity problem (i.e., curse of dimensionality). Therefore, we apply the simulation-based algorithm to obtain the optimal policy for the MDP. The algorithm can estimate the performance measure to update the policy gradient in an online fashion. The performance evaluation of the proposed algorithm uses parameters setting profiled from real mobile applications. The extensive simulation results clearly show the convergence and the efficiency of the proposed algorithm. © 2014 IEEE.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2014 IEEE International Conference on Communications, ICC 2014
dc.relation.ispartof	IEEE International Conference on Communications (ICC)
dc.relation.ispartofseries	IEEE International Conference on Communications
dc.relation.isbasedon	10.1109/ICC.2014.6883907
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Simulation-based optimization for admission control of mobile cloudlets
dc.type	Conference Proceeding
utslib.location.activity	Sydney, AUSTRALIA
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T05:30:23Z
pubs.finish-date	2014-06-14
pubs.publication-status	Published
pubs.start-date	2014-06-10

Abstract:

This paper considers an admission control problem for a mobile cloud computing hotspot with a cloudlet. We first formulate the admission control problem as a Markov decision process (MDP). The objective is to maximize the average reward in terms of revenue for cloudlet service providers. However, the MDP could suffer from the complexity problem (i.e., curse of dimensionality). Therefore, we apply the simulation-based algorithm to obtain the optimal policy for the MDP. The algorithm can estimate the performance measure to update the policy gradient in an online fashion. The performance evaluation of the proposed algorithm uses parameters setting profiled from real mobile applications. The extensive simulation results clearly show the convergence and the efficiency of the proposed algorithm. © 2014 IEEE.

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http://hdl.handle.net/10453/167964