Abstract
Recently, web application services based on cloud computing technologies are being offered. In the web-based application field of geo-spatial data management or processing, data processing services are produced or operated using various information communication technologies. Platform-as-a-Service (PaaS) is a type of cloud computing service model that provides a platform that allows service providers to implement, execute, and manage applications without the complexity of establishing and maintaining the lower-level infrastructure components, typically related to application development and launching. There are advantages, in terms of cost-effectiveness and service development expansion, of applying non-proprietary PaaS cloud computing. Nevertheless, there have not been many studies on the use of PaaS technologies to build geo-spatial application services. This study was based on open source PaaS technologies used in a geo-spatial image processing service, and it aimed to evaluate the performance of that service in relation to the Web Processing Service (WPS) 2.0 specification, based on the Open Geospatial Consortium (OGC) after a test application deployment using the configured service supported by a cloud environment. Using these components, the performance of an edge extraction algorithm on the test system in three cases, of 300, 500, and 700 threads, was assessed through a comparison test with another test system, in the same three cases, using Infrastructure-as-a-Service (IaaS) without Load Balancer-as-a-Service (LBaaS). According to the experiment results, in all the test cases of WPS execution considered in this study, the PaaS-based geo-spatial service had a greater performance and lower error rates than the IaaS-based cloud without LBaaS.
Highlights
Cloud computing, and its component technologies, are receiving a great deal of attention, and a lot of research has been carried out since the moment they were released
Among many possible research topics, the focus in this study is to evaluate whether it is better to build a certain PaaS product over a PaaS or IaaS service using the generic variables, such as a multi-thread, ramp-up period and loop count, as well as the measurement of the error rates, regarding the completeness of requests in the cloud service
Since both IaaS and PaaS cloud services are basically web-based, Open Geospatial Consortium (OGC) Web Processing Service (WPS) 2.0 standards were applied in the experiment for performance evaluation
Summary
Its component technologies, are receiving a great deal of attention, and a lot of research has been carried out since the moment they were released. There are three main service models in cloud computing: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). IaaS is a cloud service that provides an infrastructure environment that is highly available without the need to purchase computing resources or equipment. IaaS-based geo-spatial data processing services with actual image processing functions, such as change detection, segmentation, and normalized difference vegetation index (NDVI) under an OpenStack environment, were presented in Lee et al [11]. There is a need for investigating the benefits of geospatial application deployment or development via PaaS, as well as the closure of some gaps or issues related to these two tasks, either in general or with respect to the use of IaaS services.
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