ECOS PL-Science: uma arquitetura para ecossistemas de software científico apoiada por uma rede ponto a ponto

Abstract

The conception of scientific workflows is a widely used approach in the context of eScience and scientific experimentation. There are many researches about the management and execution of experiments based on workflows. However, scientific experiments involve complex interactions between geographically distributed researchers, requiring the usage of large amount of data, services and distributed computing resources. This scenario categorizes a scientific experimentation ecosystem. In order to carry out experiments in this context researchers need an architecture for e-Science that supports flexibility, extensibility and scalability. During the experimentation process, valuable information can be unexploited and reusing opportunities of resources and services could be lost if the ecosystem architecture for e-Science does not consider previous mentioned requirements. In order to address the flexibility, extensibility and scalability of ecosystems platforms, this dissertation presents a service-oriented architecture supported by a peer-to-peer network. It was developed to support life-cycle stages of a scientific experiment. This work also presents, as contributions, an architecture to support experiments execution of scientific software ecosystems, the implementation of this architecture, as well as its evaluation.