Service Composition Framework for Big Data Service

• Published in: 2014 International Conference on Future Internet of Things and Cloud pp. 328 - 333
• Main Authors: Taewoo Nam, Kyungsuk Choi, Cheolmin Ok, Keunhyuk Yeom
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2014
• Subjects: Big data; Computers; Data visualization; Educational institutions; Framework; Service composition; Service specification; Service-oriented architecture; Transportation; Workflow
• DOI: 10.1109/FiCloud.2014.58

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.