Apoiando a composição de serviços em um ecossistema de software científico

Abstract

The area of e-Science encompasses performing complex scientific experiments, usually supported by workflows. These experiments generally use distributed data and resources, and can be supported by a scientific software ecosystem platform. In this context, it is necessary to allow different web services to be composed, reused, and interoperate in the platform to deal with the complexities of the experiments. However, performing services composition on ecosystem platform is a complex activity which requires computational support, considering, above all, the functional and non-functional requirements of these services. Therefore, the goal of this work is to present a mechanism that aims to support services composition in scientific software ecosystem context. To this end, this mechanism is associated to the service construction process of the scientific software ecosystem platform. It also provides visualization elements to represent functional dependency and interoperability relationships between the services. In addition, it uses scientific social networks analysis to identify potential collaborators. The identified researchers may interact through the visualizations, in the shared workspace, to evaluate the compositions. This platform, named E-SECO, supports different phases of the scientific experiment life cycles. From this mechanism, scientists interact and analyze the relationships between services in compositions which were performed considering, above all, the functional dependency metrics and interoperability issues between existing services in different instances of the platform. In order to evaluate the mechanism to support services composition, case studies were carried out on the E-SECO platform.