On the design of a software secretary
- Autores
- Schiaffino, Silvia; Amandi, Analía
- 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
Local Decision Making
Pricing Strategies
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:10915/183289
Ver los metadatos del registro completo
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On the design of a software secretarySchiaffino, SilviaAmandi, AnalíaCiencias InformáticasDistributed Load BalancingResource AllocationLocal Decision MakingPricing StrategiesStochastic 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/pdf218-230http://sedici.unlp.edu.ar/handle/10915/183289enginfo: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:10915/183289Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:50:03.074SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
On the design of a software secretary |
title |
On the design of a software secretary |
spellingShingle |
On the design of a software secretary Schiaffino, Silvia Ciencias Informáticas Distributed Load Balancing Resource Allocation Local Decision Making Pricing Strategies Stochastic Environments |
title_short |
On the design of a software secretary |
title_full |
On the design of a software secretary |
title_fullStr |
On the design of a software secretary |
title_full_unstemmed |
On the design of a software secretary |
title_sort |
On the design of a software secretary |
dc.creator.none.fl_str_mv |
Schiaffino, Silvia Amandi, Analía |
author |
Schiaffino, Silvia |
author_facet |
Schiaffino, Silvia Amandi, Analía |
author_role |
author |
author2 |
Amandi, Analía |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Distributed Load Balancing Resource Allocation Local Decision Making Pricing Strategies Stochastic Environments |
topic |
Ciencias Informáticas Distributed Load Balancing Resource Allocation Local Decision Making Pricing Strategies 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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