Service Composition Framework for Big Data Service

Demand for big data analysis service has been increasing recently. In addition, the related business and market are also growing. However, big data service development requires a substantial amount of time and human resources. In this paper, we suggest a "Service Composition Framework" for the development of a new big data service that easily combines a various big data services. The framework provides an environment with which the user can connect, and thus execute a specific service based on the desired Meta-model. We define the "Workflow" to which the user links each service in the framework. The workflow can be executed after a "Composition Check". In this paper, we apply the framework to the Transportation domain, i.e., the "Transportation Service Composition Framework". Users can develop a transportation big data service easily through the transportation service composition framework. Such framework will reduce problems with expenses and increase reusability when developing a transportation big data service. In the future, we can solve problems with expenses and human resources when developing a big data service by applying the service composition framework to various domains.