Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/FiCloud.2014.58 | FiCloud |
Keywords | Field | DocType |
metamodel,workflow,big data,composition check,service composition,traffic engineering computing,transportation,service composition, workflow, big data, service specification, framework,data analysis,framework,big data service development,big data analysis service,expense problem,transportation big data service,service specification,transportation service composition framework,human resource problem | Service design,Computer science,Differentiated service,Service level requirement,Service desk,Data as a service,Big data,Workflow,Service delivery framework,Database,Process management | Conference |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taewoo Nam | 1 | 627 | 52.02 |
| Kyungsuk Choi | 2 | 1 | 0.36 |
| Cheolmin Ok | 3 | 1 | 0.36 |
| Keunhyuk Yeom | 4 | 211 | 22.42 |