期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：1559-1566
出版社：Copernicus Publications
摘要：Within the scope of processing large amounts of data and complex calculations the use of grid computing is a good choice for achieving high performance, because processing of extensive spatial data can be very computationally intensive. At the moment there exist spatial data infrastructures (SDI) as framework with the use of web services, which are standardised by the Open Geospatial Consortium (OGC). The architecture of a SDI is focused on creation and distributed processing service chains in geospatial context. In scientific computing grid environments were developed to provide numerous distributed rich equipped resources to share distributed computing power. Thus grid environments can handle the needs of distributed processing of large amounts of spatial data with very complex calculations. SDI and grid environments in fact build two different networks, which permit the creation and distributed processing of service chains. The development process of both networks already extends over several years and results in numerous sophisticated components of its architecture. So an integration of SDI and grid technologies is beneficial by combination of distributed processing geospatial service chains with numerous distributed rich equipped resources of a grid environment.This paper discusses different approaches to bring both worlds – the SDI and the grid environment – together and "gridify" OGC compliant service chains while maintaining the usability for spatial data infrastructure service user and getting an optimised data and information flow in the gridified service chain. This includes a view on gridification of single services, which have to be parallelised and mapped to the grid environment in an adequate way to the gridification approach of the whole service chain. With these approaches this paper presents a formalisation of services and its instances, which interact between the two networks. In addition some additional requirements of service orchestration are described, to understand how an appropriate composition of gridified web services can be realised at runtime by a workflow engine. The given approaches will be illustrated by an example of a realistic OGC compliant web service chain for the simulation of environmental noise dispersion
关键词：Spatial Data Infrastructure; Distributed Processing; Grid Computing; Service Chains; Performance; Gridification
