Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited

Autores
Njimolu Anyouzoa, Alain G.; Manderick, Bernard
Año de publicación
2002
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Many approaches to distributed load balancing focus on algorithms, most of the time leading to centralized mechanisms while trying to solve distributed problems. Olafsson's approach is interesting in that it offers a framework where local decision making is the key to achieving efficient resource allocation. Although he decouples interactions between agents, this loose coupling is lost with the introduction of differentiated pricing strategies and makes the stability analysis around potential equilibria more complex. Furthermore, his model does not provide support for stochastic events in distributed environments. In this paper, we describe a modi fication of his model to address extinction and innovation in the population of resources and present our current experimental directions. This paper is the first installment of a series which will describe the architecture of the system we have built to prove our concepts and provide experimental results.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Distributed Load Balancing
Resource Allocation
Equilibrium Analysis
Agent-Based Modeling
Stochastic Environments
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/183286

id SEDICI_e996f3ff92d5426440f5ae6791dc61f3
oai_identifier_str oai:sedici.unlp.edu.ar:10915/183286
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy RevisitedNjimolu Anyouzoa, Alain G.Manderick, BernardCiencias InformáticasDistributed Load BalancingResource AllocationEquilibrium AnalysisAgent-Based ModelingStochastic EnvironmentsMany approaches to distributed load balancing focus on algorithms, most of the time leading to centralized mechanisms while trying to solve distributed problems. Olafsson's approach is interesting in that it offers a framework where local decision making is the key to achieving efficient resource allocation. Although he decouples interactions between agents, this loose coupling is lost with the introduction of differentiated pricing strategies and makes the stability analysis around potential equilibria more complex. Furthermore, his model does not provide support for stochastic events in distributed environments. In this paper, we describe a modi fication of his model to address extinction and innovation in the population of resources and present our current experimental directions. This paper is the first installment of a series which will describe the architecture of the system we have built to prove our concepts and provide experimental results.Sociedad Argentina de Informática e Investigación Operativa2002info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf142-159http://sedici.unlp.edu.ar/handle/10915/183286enginfo:eu-repo/semantics/altIdentifier/issn/1660-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:50:02Zoai:sedici.unlp.edu.ar:10915/183286Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:50:03.055SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
title Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
spellingShingle Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
Njimolu Anyouzoa, Alain G.
Ciencias Informáticas
Distributed Load Balancing
Resource Allocation
Equilibrium Analysis
Agent-Based Modeling
Stochastic Environments
title_short Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
title_full Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
title_fullStr Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
title_full_unstemmed Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
title_sort Spontaneous emergence and extinction of resources in distributed systems-Resource Allocation as Evolving Strategy Revisited
dc.creator.none.fl_str_mv Njimolu Anyouzoa, Alain G.
Manderick, Bernard
author Njimolu Anyouzoa, Alain G.
author_facet Njimolu Anyouzoa, Alain G.
Manderick, Bernard
author_role author
author2 Manderick, Bernard
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Distributed Load Balancing
Resource Allocation
Equilibrium Analysis
Agent-Based Modeling
Stochastic Environments
topic Ciencias Informáticas
Distributed Load Balancing
Resource Allocation
Equilibrium Analysis
Agent-Based Modeling
Stochastic Environments
dc.description.none.fl_txt_mv Many approaches to distributed load balancing focus on algorithms, most of the time leading to centralized mechanisms while trying to solve distributed problems. Olafsson's approach is interesting in that it offers a framework where local decision making is the key to achieving efficient resource allocation. Although he decouples interactions between agents, this loose coupling is lost with the introduction of differentiated pricing strategies and makes the stability analysis around potential equilibria more complex. Furthermore, his model does not provide support for stochastic events in distributed environments. In this paper, we describe a modi fication of his model to address extinction and innovation in the population of resources and present our current experimental directions. This paper is the first installment of a series which will describe the architecture of the system we have built to prove our concepts and provide experimental results.
Sociedad Argentina de Informática e Investigación Operativa
description Many approaches to distributed load balancing focus on algorithms, most of the time leading to centralized mechanisms while trying to solve distributed problems. Olafsson's approach is interesting in that it offers a framework where local decision making is the key to achieving efficient resource allocation. Although he decouples interactions between agents, this loose coupling is lost with the introduction of differentiated pricing strategies and makes the stability analysis around potential equilibria more complex. Furthermore, his model does not provide support for stochastic events in distributed environments. In this paper, we describe a modi fication of his model to address extinction and innovation in the population of resources and present our current experimental directions. This paper is the first installment of a series which will describe the architecture of the system we have built to prove our concepts and provide experimental results.
publishDate 2002
dc.date.none.fl_str_mv 2002
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/183286
url http://sedici.unlp.edu.ar/handle/10915/183286
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1660-1079
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
142-159
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616360092499968
score 13.070432