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Deploying applications in Multi-SAN SMP clusters

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Detalhes bibliográficos
Resumo:The effective exploitation of multi-SAN SMP clusters and the use of generic clusters to support complex information systems require new approaches. On the one hand, multi-SAN SMP clusters introduce another level of parallelism which is not addressed by conventional programming models that assume a homogeneous cluster. On the other hand, traditional parallel programming environments are mainly used to run scientific computations, using all available resources, and therefore applications made of multiple components, sharing cluster resources or being restricted to a particular cluster partition, are not supported. We present an approach to integrate the representation of physical resources, the modelling of applications and the mapping of application into physical resources. The abstractions we propose allow to combine shared memory, message passing and global memory paradigms.
Autores principais:Alves, Albano
Outros Autores:Pina, António; Rufino, José; Exposto, José
Assunto:Resource management Application modelling Logical-physical mapping
Ano:2005
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The effective exploitation of multi-SAN SMP clusters and the use of generic clusters to support complex information systems require new approaches. On the one hand, multi-SAN SMP clusters introduce another level of parallelism which is not addressed by conventional programming models that assume a homogeneous cluster. On the other hand, traditional parallel programming environments are mainly used to run scientific computations, using all available resources, and therefore applications made of multiple components, sharing cluster resources or being restricted to a particular cluster partition, are not supported. We present an approach to integrate the representation of physical resources, the modelling of applications and the mapping of application into physical resources. The abstractions we propose allow to combine shared memory, message passing and global memory paradigms.