Towards a predictive load balancing method based on multiples resources

Processors load unbalance in distributed systems is one of the main problems, because ít involves system performance degradation. Load balance algorithms try to improve the system global performance through migration of processes, but they present also an additional problem, known as instability: lt...

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Detalles Bibliográficos
Autores principales: Gallard, Raúl Hector, Piccoli, María Fabiana, García, José Luis
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2000
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23359
Aporte de:
id I19-R120-10915-23359
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Distributed Systems
load balancing strategies
multiple resources metric
mean response time
migrations
spellingShingle Ciencias Informáticas
Distributed Systems
load balancing strategies
multiple resources metric
mean response time
migrations
Gallard, Raúl Hector
Piccoli, María Fabiana
García, José Luis
Towards a predictive load balancing method based on multiples resources
topic_facet Ciencias Informáticas
Distributed Systems
load balancing strategies
multiple resources metric
mean response time
migrations
description Processors load unbalance in distributed systems is one of the main problems, because ít involves system performance degradation. Load balance algorithms try to improve the system global performance through migration of processes, but they present also an additional problem, known as instability: lt happens when processes spend an excessive amount of time migrating among different system nodes. In arder to diminish this cost without affecting the mean system response time, load balancíng algoríthms based on dífferent strategíes have been proposed. Multiple Resources Predictíve Load Balance Strategy (MRPLBS), ís a new predíctive, dynamic and nonpreemptive strategy for balancing multiple resources. The predictive approach is based on estimations computed as weighed exponential averages of the load of each node in the system. This paper presents MRPLBS' system architecture and its performance and system a comparison on different scenarios against Random Load Balancing. The number of requirements, the mean response time, the number of failed migratíons and the percentage of acceptance are shown
format Objeto de conferencia
Objeto de conferencia
author Gallard, Raúl Hector
Piccoli, María Fabiana
García, José Luis
author_facet Gallard, Raúl Hector
Piccoli, María Fabiana
García, José Luis
author_sort Gallard, Raúl Hector
title Towards a predictive load balancing method based on multiples resources
title_short Towards a predictive load balancing method based on multiples resources
title_full Towards a predictive load balancing method based on multiples resources
title_fullStr Towards a predictive load balancing method based on multiples resources
title_full_unstemmed Towards a predictive load balancing method based on multiples resources
title_sort towards a predictive load balancing method based on multiples resources
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/23359
work_keys_str_mv AT gallardraulhector towardsapredictiveloadbalancingmethodbasedonmultiplesresources
AT piccolimariafabiana towardsapredictiveloadbalancingmethodbasedonmultiplesresources
AT garciajoseluis towardsapredictiveloadbalancingmethodbasedonmultiplesresources
bdutipo_str Repositorios
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