Abstract

Abstract. The German Indonesian Tsunami Early Warning System (GITEWS) is built upon a complex sensor data infrastructure. To best fulfill the demand for a long living system, the underlying software and hardware architecture of GITEWS must be prepared for future modifications both of single sensors and entire sensors systems. The foundation for a flexible integration and for stable interfaces is a result of following the paradigm of a Service Oriented Architecture (SOA). The Tsunami Service Bus (TSB) – our integration platform in GITEWS – realizes this SOA approach by implementing the Sensor Web Enablement (SWE) standards and services. This paper focuses on architectural and implementation aspects of the TSB. Initially, the general architectural approach in GITEWS by SOA and SWE is presented. Based on this conception, the concrete system architecture of GITEWS is introduced. The sensor integration platform TSB is then discussed in detail, following by its primary responsibilities and components. Special emphasis is laid on architectural transparency, comprehensible design decisions, and references to the applied technology.

Highlights

  • New sensor data types fit into the Tsunami Service Bus (TSB) as long as they fit into Sensor Web Enablement (SWE) data model

  • SWE’s applicability was proven by the Decision Support System (DSS), where SWE is used as interface standard for accessing huge geodata, for sensor data management, and for map display and communication with the German Indonesian Tsunami Early Warning System (GITEWS) simulation system (Raape et al, 2010; Behrens et al, 2010)

  • This paper has presented the concept, architecture, and implementation of the integration platform TSB

Read more

Summary

Objectives

The Tsunami Service Bus (TSB) is the sensor integration platform of the German Indonesian Tsunami Early Warning System (Rudloff et al, 2009). Due to the geological situation in Indonesia, the primary goal of GITEWS is to deliver a reliable tsunami warning message as quickly as possible. This is achieved using several sensor systems: the seismological system, the near real time GPS deformation monitoring sys-. Tem, several tide gauges, and buoy systems Together they provide the fundamental data necessary to support the prediction of a tsunami wave performed by the warning center. All these sensors use their own rather fixed proprietary data formats and specific behaviors (Fig. 1). Seen from an architectural viewpoint, GITEWS is a typical integration project

Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.