Moving Code in Spatial Data Infrastructures – Web Service Based Deployment of Geoprocessing Algorithms

Müller, Matthias S.; Bernard, Lars; Brauner, Johannes

doi:10.1111/j.1467-9671.2010.01205.x

Cited by 25 publications

(14 citation statements)

References 12 publications

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“…This may considerably decrease the overhead caused by the size of PyWPS/ GRASS binaries and data. Such a ''moving-code'' approach (Müller et al, 2010) can be advantageous as it allows moving the algorithm code, rather than data, to a processing instance. Data is then processed as close as possible to its source, which reduces bandwidth and data transportation time.…”

Section: Performancesmentioning

confidence: 99%

WPS mediation: An approach to process geospatial data on different computing backends

Giuliani

Nativi

Lehmann

et al. 2012

Computers & Geosciences

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a b s t r a c tThe OGC Web Processing Service (WPS) specification allows generating information by processing distributed geospatial data made available through Spatial Data Infrastructures (SDIs). However, current SDIs have limited analytical capacities and various problems emerge when trying to use them in data and computing-intensive domains such as environmental sciences. These problems are usually not or only partially solvable using single computing resources. Therefore, the Geographic Information (GI) community is trying to benefit from the superior storage and computing capabilities offered by distributed computing (e.g., Grids, Clouds) related methods and technologies. Currently, there is no commonly agreed approach to grid-enable WPS. No implementation allows one to seamlessly execute a geoprocessing calculation following user requirements on different computing backends, ranging from a stand-alone GIS server up to computer clusters and large Grid infrastructures.Considering this issue, this paper presents a proof of concept by mediating different geospatial and Grid software packages, and by proposing an extension of WPS specification through two optional parameters. The applicability of this approach will be demonstrated using a Normalized Difference Vegetation Index (NDVI) mediated WPS process, highlighting benefits, and issues that need to be further investigated to improve performances.

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Section: Performancesmentioning

confidence: 99%

WPS mediation: An approach to process geospatial data on different computing backends

Giuliani

Nativi

Lehmann

et al. 2012

Computers & Geosciences

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“…Spatial Data Infrastructures (SDI) which partly evolved from service-oriented architectures (SOA) are becoming increasingly popular while staying conceptually compatible with the features of original SOAs [1]. The term SOA refers to a concept where functionality is provided by means of a set of reusable services.…”

Section: Introductionmentioning

confidence: 99%

The RichWPS Environment for Orchestration

Bensmann¹,

Alcacer-Labrador²,

Ziegenhagen³

et al. 2014

IJGI

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Web service (WS) orchestration can be considered as a fundamental concept in service-oriented architectures (SOA), as well as in spatial data infrastructures (SDI). In recent years in SOA, advanced solutions were developed, such as realizing orchestrated web services on the basis of already existing more fine-granular web services by using standardized notations and existing orchestration engines. Even if the concepts can be mapped to the field of SDI, on a conceptual level the implementations target different goals. As a specialized form of a common web service, an Open Geospatial Consortium (OGC) web service (OWS) is optimized for a specific purpose. On the technological level, web services depend on standards like the Web Service Description Language (WSDL) or the Simple Object Access Protocol (SOAP). However OWS are different. Consequently, a new concept for OWS orchestration is needed that works on the interface provided by OWS. Such a concept is presented in this work. The major component is an orchestration engine integrated in a Web Processing Service (WPS) server that uses a domain specific language (DSL) for workflow description. The developed concept is the base for the realization of new functionality, such as workflow testing, and workflow optimization.

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“…The Code-on-demand constraint is not regarded in the WPS specification, though, this dichotomy -algorithm to data or data to algorithm-has been largely discussed in the geoprocessing service literature (Müller et al, 2010;Granell et al, 2010). On demanding functions like data filtering, aggregation or fusion would be useful and valuable for user agents to manipulate service responses.…”

Section: Code-on-demandmentioning

confidence: 99%

Assessment of OGC web processing services for REST principles

Granell

Díaz

Tamayo

et al. 2014

IJDMMM

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Recent distributed computing trends advocate the use of Representational State Transfer (REST) to alleviate the inherent complexity of the Web services standards in building service-oriented web applications. In this paper we focus on the particular case of geospatial services interfaced by the OGC Web Processing Service (WPS) specification in order to assess whether WPS-based geospatial services can be viewed from the architectural principles exposed in REST. Our concluding remarks suggest that the adoption of REST principles, to specially harness the built-in mechanisms of the HTTP application protocol, may be beneficial in scenarios where ad hoc composition of geoprocessing services are required, common for most non-expert users of geospatial information infrastructures.

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Moving Code in Spatial Data Infrastructures – Web Service Based Deployment of Geoprocessing Algorithms

Cited by 25 publications

References 12 publications

WPS mediation: An approach to process geospatial data on different computing backends

WPS mediation: An approach to process geospatial data on different computing backends

The RichWPS Environment for Orchestration

Assessment of OGC web processing services for REST principles

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