Design and implementation of geo-spatial image processing system using OGC WPS 2.0 and Web framework on Openstack cloud

摘要

Recently, OGC standards for geo-spatial data and information such as Web Map Service (WMS), Web Feature Service (WFS), Web Coverage Service (WCS) strengthen their extension and expansion of geo-based applications. As well, Web Processing Service (WPS) provides the interface specification regarding on-line geo-processing among inter-connecting systems complying with this standard. While, one of current huge trends, cloud computing means pay-as-you-go type uses of any computing resources including server, networking, or storage capacity. This gradually affects web-based information systems as software-as-a-service, infrastructure-as-a-service or platform-as-a-service in all fields. Many cloud environments are available in commercial or free basis. Amazon, Microsoft, IBM and Google are positioning as so-called cloud bursting service companies. By the way, cloud computing based on open source is also an important aspect for system developers. OpenStack is a typical example, and it applies to build public, private or hybrid cloud system in most application areas. There are a few practical cases in the geo-spatial application implementation by cloud computing environment, yet. As another thing for web-based applications, web framework is worth developers' consideration, because of its advantages of avoiding development redundancy and ensuring system stability. Therefore, it provides technical bases and implementation specifications for e-government standard web framework, in some countries. Spring framework, open source web framework, is an example. This study contains these three aspects: OGC WPS, OpenStack cloud, and Spring framework. Web is a very basic environment for information retrieval and processing so that it is also core to information system for geo-based data. However, approach to integrate and link with these three aspects is globally very early research stage now. These three components were integrated for the task of on-line geo-based image processing system implementation based on open source strategy. Above all, cloud computing environment using OpenStack was built to provide platform to deal with other components. Then, web framework was implemented onto this cloud environment to mediate client requesting and server responding via WPS. It is thought that this result can be a technical referential model for web-based geo-spatial applications including complex geo-data processing units between remote data providers and data processing server through standard interfaces.