The Application of Bi-level Programming with Stackelberg Equilibrium in Cloud Computing based on Simplified Swarm Optimization

Yeh, W; Yeh, Y; Lin, L

The Application of Bi-level Programming with Stackelberg Equilibrium in Cloud Computing based on Simplified Swarm Optimization

Yeh, W Yeh, Y Lin, L

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2012 8th International Conference on Computing Technology and Information Management (ICCM) Volume 2, 2012, pp. 809 - 814
Issue Date:: 2012-01

Closed Access

	Filename	Description	Size
	2012001235OK.pdf		400.77 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Yeh, W	en_US
dc.contributor.author	Yeh, Y	en_US
dc.contributor.author	Lin, L	en_US
dc.contributor.editor	Yeh, WC	en_US
dc.contributor.editor	Yeh, YM	en_US
dc.contributor.editor	Lin, LM	en_US
dc.date	2012-04-24	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	2012 8th International Conference on Computing Technology and Information Management (ICCM) Volume 2, 2012, pp. 809 - 814	en_US
dc.identifier.isbn	978-1-4673-0893-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22991
dc.description.abstract	Cloud computing (CC) is a configurable resource model that can be rapidly provisioned and released with minimal management effort or service provider interaction. In CC services, buyers and sellers always have strong (leader) or weak (follower) influence, and leaders have the authority to make decisions. Considering how to only reduce the buyer's cost or increase the seller's profit does not reflect the economic situation in reality. Hence, a novel model based on the Stackelberg leadership is proposed and formulated by bi-Ievel programming (BLP) to analyze such non-cooperative decision relationships in Cc. A new method called bi-Ievel simplified swarm optimization (BLSSO) is developed to solve the BLP. This BLSSO uses a dynamic regional search and guarantees global convergence. Computational results show that the proposed BLSSO technique is very competitive and satisfies a number of criteria, including the number of times the best solution is found, the average number of the earliest best solution found, and the total computational time. Thus, both the Stackelberg leadership and the BLSSO can provide decision makers with a different view on Cc.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2012 8th International Conference on Computing Technology and Information Management (ICCM) Volume 2	en_US
dc.relation.ispartof	International Conference on Computing Technology and Information Management	en_US
dc.rights	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	The Application of Bi-level Programming with Stackelberg Equilibrium in Cloud Computing based on Simplified Swarm Optimization	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Seoul, Korea	en_US
utslib.for	0803 Computer Software	en_US
dc.location.activity	Seoul, Korea	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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2012-04-24	en_US

Abstract:

Cloud computing (CC) is a configurable resource model that can be rapidly provisioned and released with minimal management effort or service provider interaction. In CC services, buyers and sellers always have strong (leader) or weak (follower) influence, and leaders have the authority to make decisions. Considering how to only reduce the buyer's cost or increase the seller's profit does not reflect the economic situation in reality. Hence, a novel model based on the Stackelberg leadership is proposed and formulated by bi-Ievel programming (BLP) to analyze such non-cooperative decision relationships in Cc. A new method called bi-Ievel simplified swarm optimization (BLSSO) is developed to solve the BLP. This BLSSO uses a dynamic regional search and guarantees global convergence. Computational results show that the proposed BLSSO technique is very competitive and satisfies a number of criteria, including the number of times the best solution is found, the average number of the earliest best solution found, and the total computational time. Thus, both the Stackelberg leadership and the BLSSO can provide decision makers with a different view on Cc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/22991