An SOA-Based Model for the Integrated Provisioning of Cloud and Grid Resources

Abstract EN

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 bioinformatics, which is used to validate the presented approach and to carry out some performance and scalability measurements.