Quantitative Quality Model for Evaluating Open Source Web Applications: Case Study of Repository Software

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

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TANK INFORMATION SYSTEM (TIS): A CASE STUDY IN MIGRATING WEB MAPPING APPLICATION FROM FLEX TO DOJO FOR ARCGIS SERVER AND THEN TO OPEN SOURCE

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-4-w4-311-2017 ◽

2017 ◽

Vol IV-4/W4 ◽

pp. 311-317

Author(s):

B. R. Pulsani

Keyword(s):

Information System ◽

Open Source ◽

Web Application ◽

Web Applications ◽

Migration Pattern ◽

The Public ◽

Web Mapping ◽

Comprehensive Information ◽

Arcgis Server

Tank Information System is a web application which provides comprehensive information about minor irrigation tanks of Telangana State. As part of the program, a web mapping application using Flex and ArcGIS server was developed to make the data available to the public. In course of time as Flex be-came outdated, a migration of the client interface to the latest JavaScript based technologies was carried out. Initially, the Flex based application was migrated to ArcGIS JavaScript API using Dojo Toolkit. Both the client applications used published services from ArcGIS server. To check the migration pattern from proprietary to open source, the JavaScript based ArcGIS application was later migrated to OpenLayers and Dojo Toolkit which used published service from GeoServer. The migration pattern noticed in the study especially emphasizes upon the use of Dojo Toolkit and PostgreSQL database for ArcGIS server so that migration to open source could be performed effortlessly. The current ap-plication provides a case in study which could assist organizations in migrating their proprietary based ArcGIS web applications to open source. Furthermore, the study reveals cost benefits of adopting open source against commercial software's.

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VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9110679 ◽

2020 ◽

Vol 9 (11) ◽

pp. 679

Author(s):

Nathalie Guimarães ◽

Luís Pádua ◽

Telmo Adão ◽

Jonáš Hruška ◽

Emanuel Peres ◽

...

Keyword(s):

Data Processing ◽

Open Source ◽

Unmanned Aerial Vehicle ◽

Open Source Software ◽

Large Volume ◽

Web Application ◽

Web Applications ◽

Aerial Vehicle ◽

Key Driver

Currently, the use of free and open-source software is increasing. The flexibility, availability, and maturity of this software could be a key driver to develop useful and interesting solutions. In general, open-source solutions solve specific tasks that can replace commercial solutions, which are often very expensive. This is even more noticeable in areas requiring analysis and manipulation/visualization of a large volume of data. Considering that there is a major gap in the development of web applications for photogrammetric processing, based on open-source technologies that offer quality results, the application presented in this article is intended to explore this niche. Thus, in this article a solution for photogrammetric processing is presented, based on the integration of MicMac, GeoServer, Leaflet, and Potree software. The implemented architecture, focusing on open-source software for data processing and for graphical manipulation, visualization, measuring, and analysis, is presented in detail. To assess the results produced by the proposed web application, a case study is presented, using imagery acquired from an unmanned aerial vehicle in two different areas.

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A Case Study on the Development of Life Insurance Prediction Model Analysis Environment Applying Open-Source Bigdata Technology

Productivity Review ◽

10.15843/kpapr.32.1.2018.03.173 ◽

2018 ◽

Vol 32 (1) ◽

pp. 173-207

Author(s):

Sung Hyun Kim ◽

◽

Jiwon Chun ◽

Miyoung Lee

Keyword(s):

Prediction Model ◽

Open Source ◽

Life Insurance ◽

Model Analysis ◽

Analysis Environment

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DEVELOPING A FREE AND OPEN-SOURCE GRAPHICAL USER INTERFACE FOR CNN-BASED GEOMORPHIC FEATURE DETECTION: CAROLINA BAYS AS A CASE STUDY

10.1130/abs/2020am-354782 ◽

2020 ◽

Author(s):

Mark Lundine ◽

◽

Arthur Trembanis

Keyword(s):

User Interface ◽

Open Source ◽

Graphical User Interface ◽

Feature Detection ◽

Carolina Bays ◽

Geomorphic Feature

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Vehicle Energy Consumption in Python (VencoPy): Presenting and Demonstrating an Open-Source Tool to Calculate Electric Vehicle Charging Flexibility

Energies ◽

10.3390/en14144349 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4349

Author(s):

Niklas Wulff ◽

Fabia Miorelli ◽

Hans Christian Gils ◽

Patrick Jochem

Keyword(s):

Open Source ◽

Electric Vehicle ◽

Full Range ◽

Mobility Patterns ◽

Electric Vehicle Charging ◽

Survey Results ◽

Vehicle Demand ◽

Vehicle Fleet ◽

Electric Loads

As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorporate their respective demand and potential flexibility. Recently, a small number of tools for electric vehicle demand and flexibility modeling have been released under open source licenses. These usually sample discrete trips based on aggregate mobility statistics. However, the full range of variables of travel surveys cannot be accessed in this way and sub-national mobility patterns cannot be modeled. Therefore, a tool is proposed to estimate future electric vehicle fleet charging flexibility while being able to directly access detailed survey results. The framework is applied in a case study involving two recent German national travel surveys (from the years 2008 and 2017) to exemplify the implications of different mobility patterns of motorized individual vehicles on load shifting potential of electric vehicle fleets. The results show that different mobility patterns, have a significant impact on the resulting load flexibilites. Most obviously, an increased daily mileage results in higher electricty demand. A reduced number of trips per day, on the other hand, leads to correspondingly higher grid connectivity of the vehicle fleet. VencoPy is an open source, well-documented and maintained tool, capable of assessing electric vehicle fleet scenarios based on national travel surveys. To scrutinize the tool, a validation of the simulated charging by empirically observed electric vehicle fleet charging is advised.

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