A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach

In this paper the problem of distributing resources among a collection of users (or players) is explored. These players have independent preferences to get these resources and can be dishonest about their preferences in order to increase their utility (their preference for the resources they are all...

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Autores: Doncel Vicente, Josu, De la Pisa Arribas, Luis, Santos, Agustín, Fernández Anta, Antonio
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/50613
Acceso en línea:http://hdl.handle.net/10810/50613
Access Level:acceso abierto
Palabra clave:resource management
scalability
random variables
technological innovation
licenses
government
wireless communication
resource allocation
mechanism design
fairness
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spelling A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ ApproachDoncel Vicente, JosuDe la Pisa Arribas, LuisSantos, AgustínFernández Anta, Antonioresource managementscalabilityrandom variablestechnological innovationlicensesgovernmentwireless communicationresource allocationmechanism designfairnessscalabilityIn this paper the problem of distributing resources among a collection of users (or players) is explored. These players have independent preferences to get these resources and can be dishonest about their preferences in order to increase their utility (their preference for the resources they are allocated). The objective is design a mechanism to allocate resources to players so that all of them get the same amount of resources (fair), the total utility is maximized (optimal), and no player has incentive to be dishonest (strategy proof). Santos et al. proposed the Quid Pro Quo (QPQ) mechanism to solve this problem. In this paper a generalization of the QPQ mechanism is proposed that, in addition to the above properties, has a very high degree of scalability. The proposed multilevel QPQ mechanism divides the players into disjoint clusters and runs a mechanism similar to QPQ inside each cluster and across selected players in each cluster. As a consequence the amount of communication required is drastically reduced. Similarly, the storage used by the mechanism by each player is also significantly reduced, which in a practical setting can be used to improve the ability to detect dishonest players.This work was supported in part by the Regional Government of Madrid (CM) grant EdgeData-CM (P2018/TCS4499) cofunded by the FSE & FEDER, in part by the NSF of China under Grant 61520106005, and in part by the Ministry of Science and Innovation Grant PID2019-109805RB-I00 (ECID) co-funded by the FEDER. The work of Josu Doncel was supported in part by the Department of Education of the Basque Government through the Consolidated Research Group MATH-MODE (IT1294-19), in part by the Marie Sklodowska-Curie Grant agreement No. 777778, and in part by the Spanish Ministry of Science and Innovation with reference PID2019-108111RB-I00 (FEDER/AEI).IEEEEuropean Commission202120212020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/50613reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MICINN/PID2019-109805RB-I00/info:eu-repo/grantAgreement/EC/H2020/777778https://ieeexplore.ieee.org/document/9310174info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/Atribución 3.0 Españaoai:addi.ehu.eus:10810/506132026-06-18T09:23:17Z
dc.title.none.fl_str_mv A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
title A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
spellingShingle A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
Doncel Vicente, Josu
resource management
scalability
random variables
technological innovation
licenses
government
wireless communication
resource allocation
mechanism design
fairness
scalability
title_short A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
title_full A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
title_fullStr A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
title_full_unstemmed A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
title_sort A Fair and Scalable Mechanism for Resource Allocation: The Multilevel QPQ Approach
dc.creator.none.fl_str_mv Doncel Vicente, Josu
De la Pisa Arribas, Luis
Santos, Agustín
Fernández Anta, Antonio
author Doncel Vicente, Josu
author_facet Doncel Vicente, Josu
De la Pisa Arribas, Luis
Santos, Agustín
Fernández Anta, Antonio
author_role author
author2 De la Pisa Arribas, Luis
Santos, Agustín
Fernández Anta, Antonio
author2_role author
author
author
dc.contributor.none.fl_str_mv European Commission
dc.subject.none.fl_str_mv resource management
scalability
random variables
technological innovation
licenses
government
wireless communication
resource allocation
mechanism design
fairness
scalability
topic resource management
scalability
random variables
technological innovation
licenses
government
wireless communication
resource allocation
mechanism design
fairness
scalability
description In this paper the problem of distributing resources among a collection of users (or players) is explored. These players have independent preferences to get these resources and can be dishonest about their preferences in order to increase their utility (their preference for the resources they are allocated). The objective is design a mechanism to allocate resources to players so that all of them get the same amount of resources (fair), the total utility is maximized (optimal), and no player has incentive to be dishonest (strategy proof). Santos et al. proposed the Quid Pro Quo (QPQ) mechanism to solve this problem. In this paper a generalization of the QPQ mechanism is proposed that, in addition to the above properties, has a very high degree of scalability. The proposed multilevel QPQ mechanism divides the players into disjoint clusters and runs a mechanism similar to QPQ inside each cluster and across selected players in each cluster. As a consequence the amount of communication required is drastically reduced. Similarly, the storage used by the mechanism by each player is also significantly reduced, which in a practical setting can be used to improve the ability to detect dishonest players.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/50613
url http://hdl.handle.net/10810/50613
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN/PID2019-109805RB-I00/
info:eu-repo/grantAgreement/EC/H2020/777778
https://ieeexplore.ieee.org/document/9310174
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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