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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/183286
Ver los metadatos del registro completo
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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 |
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2002 |
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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 |
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eng |
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eng |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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