Deploying applications in multi-SAN SMP clusters

Abstract

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.