Bastian Baranski

A Service-Oriented Framework for Real-Time and Distributed Geoprocessing

With increasing availability of network bandwidth, server side processing capacity and advancements regarding the standardization of Web Service technologies, it becomes feasible to process geodata over the Web. As a result, web-based geoinformation is generated, which supports in particular spatial decision making. However, existing Spatial Data Infrastructures (SDI) mainly address data retrieval and portrayal, but to provide web-based geoinformation through SDIs web-based geoprocessing is required. This was the starting point to develop a framework which integrates existing desktop Geographical Information System functionality in SDIs. Moreover, an approach will be introduced to improve complex and large-scale geoprocesses in two dimensions: On the vertical scale, by significantly increasing the performance of single processes by means of Grid Computing technology and by improving other Quality of Service aspects. On the horizontal scale, by chaining this highly efficient processing services in order to automate these business processes. The relevance of this work will be demonstrated in a real-world scenario focusing on air quality assessment based on real-time data with the help of open source components.

A SOA based debris flow monitoring system

Taiwan is located at the collision boundary of the Philippine sea plate and the Eurasian plate. The mountain terrain is precipitous and the region, on the whole, is characterized by fragile rocks and frequent seismic activity. In addition, the concentrated torrential rainfall brought by typhoons cause extensive disasters, debris flow, the most serious disaster caused by torrential rainfall, lead to very heavy casualties in recent years. There are 17 fixed debris flow monitoring stations and 2 mobile stations deployed in Taiwan. However, the whole architecture was designed in late 2000 and implemented by traditional and proprietary methodologies. Hence, several interoperability issues have been unveiled in the recent years when the needs of interoperability increased. In this study, we propose a whole new and open standards based debris flow monitoring architecture following the Service Oriented Architecture (SOA) paradigm. Relevant Open Geospatial Consortium (OGC) standards (for example Web Processing Service, WPS specification and Sensor Web Enablement, SWE technologies) and advancements from Grid Computing where lead into the proposed architecture. The use of open standards and distributed computing technologies in the proposed architecture enables heterogeneous resources (data, processing and computing power) interoperability. This study also implements an OGC WPS Grid Processing Profile that was developed in the OGC Web Services, Phase 6 (OWS-6) initiative of the OGC Interoperability Program.

Live Geoinformation with Standardized Geoprocessing Services

To realize live geoinformation, which is about providing information as soon as it is available, new approaches for instant geoprocessing and efficient resource utilization are required. Currently, such geoprocessing on the web is handled sequentially instead. This article describes a new approach by processing geodata streams and thereby enabling a continuous processing for improved resource utilization rates. In particular, this work applies HTTP Live Streaming for example of standardized geoprocessing services. The approach is evaluated for processing a large volume datasets of OpenStreetMap data. The presented implementation is based on Free and Open Source software.