| Abstract | In the last years, the availability and models of use of networked computing resources within reach
of e-Science are rapidly changing and see the coexistence of many disparate paradigms: high
performance computing, grid and recently cloud. Unfortunately, none of these paradigms is
recognized as the ultimate solution, and a convergence of them all should be pursued. At the same
time, recent works have proposed a number of models and tools to address the growing needs and
expectations in the field of e-Science. In particular, they have shown the advantages and the
feasibility of modeling e-Science environments and infrastructures according to the Service-
Oriented Architecture.
In this paper we suggest a model to promote the convergence and the integration of the different
computing paradigms and infrastructures for the dynamic on-demand provisioning of resources
from multiple providers as a cohesive aggregate, leveraging the Service-Oriented Architecture. In
addition, we propose a design aimed at endorsing a flexible, modular, workflow-based computing
model for e-Science.
The model is supplemented by a working prototype implementation together with a case study in
the applicative domain of bio-informatics, which are used to validate the presented approach and to
to carry out some performance and scalability measurements. |
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