Abstract
Abstract. Geospatial data and related technologies have increasingly become a crucial part of big data analysis processes and even a prominent player in most of them. Serverless architectures have become today's trending and widely used technology within the cloud computing paradigm. In this paper, we review the serverless paradigm advantages over traditional cloud architecture models and infrastructures. Moreover, we examined the deployment of Open Geospatial Consortium (OGC) Web Processing Service (WPS) specification based geoprocessing Application Programming Interface (API) with serverless architecture. In this context, we propose a system design and review it in detail together with the results discussed along with use cases.
Highlights
The recent developments in cloud computing have led to the achievements of essential milestones in science and technology
This study proposes a system design to run Open Geospatial Consortium (OGC) Web Processing Service (WPS) based web service to execute complex and long-running geoprocessing tasks in a serverless architecture
Our design is applied on OGC WPS specification; OGC has been working on a new geoprocessing specification called OGC Application Programming Interface (API) – Processes (URL 2)
Summary
The recent developments in cloud computing have led to the achievements of essential milestones in science and technology This was primarily because highly scalable processing infrastructures are offered at low cost, allowing researchers to access high computing power readily and quickly. Researchers have the opportunity of testing their algorithms on cloud computing platforms by using their ready and tailorable computing infrastructures so that they can efficiently complete their works without considerable investments in infrastructure. They have contributed to the development of science and technology and played a significant role in the emergence and evolution of geospatial informatics. Hiring a person with skills in cloud computing and geospatial technologies poses extra difficulty
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