Hadoop-based service registry for geographical knowledge service cloud: Design and implementation

The increasing maturity of Cloud computing technology brings a profound change to modern information service industry. With explosive growth of the web services, traditional service registration software encounters many problems on cloud service registration and discovery. In this paper, we design and implement a novel geographical knowledge service registry (GeoSC) to address the problems of organizing and managing vast amounts of heterogeneous knowledge services under cloud environment and support for fast, accurate service discovery. Based on open-source cloud computing framework - Hadoop stack, GeoSC adopted a non-relational data-storage model to support QoS-based and semantics-based service description, and provide efficient parallel service discovery. We carried out an elaborate comparison between GeoSC and traditional service registration software - JUDDI to validate web service registration and discovery performance improvement. The preliminary results indicated that, GeoSC performs better on service registration and discovery than JUDDI.