<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Ingeniería de software</title>
<link href="http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1376" rel="alternate"/>
<subtitle>Publicacións relacionadas con Ingeniería de software</subtitle>
<id>http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1376</id>
<updated>2026-05-22T19:48:54Z</updated>
<dc:date>2026-05-22T19:48:54Z</dc:date>
<entry>
<title>Multilevel modeling of Geographic Information Systems based on International Standards</title>
<link href="http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1427" rel="alternate"/>
<author>
<name>Pedreira, Óscar</name>
</author>
<id>http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1427</id>
<updated>2025-10-28T02:01:13Z</updated>
<published>2021-01-01T00:00:00Z</published>
<summary type="text">Multilevel modeling of Geographic Information Systems based on International Standards
Pedreira, Óscar
</summary>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Storing and Clustering Large Spatial Datasets Using Big Data Technologies</title>
<link href="http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1418" rel="alternate"/>
<author>
<name>Rodríguez Luaces, Miguel</name>
</author>
<id>http://dspace.infodocu.lbd.org.es/xmlui/handle/123456789/1418</id>
<updated>2025-10-21T01:00:17Z</updated>
<published>2018-01-01T00:00:00Z</published>
<summary type="text">Storing and Clustering Large Spatial Datasets Using Big Data Technologies
Rodríguez Luaces, Miguel
In this paper we present the architecture of a system to store,&#13;
query and visualize on the web large datasets of geographic information.&#13;
The architecture includes a component to simulate a large number of&#13;
drivers that report their position on a regular basis, an ingestion component that is generic and can acommodate three different storage technologies, a query component that aggregates the results in order to reduce&#13;
the query time and the data transfered, and a web-based map viewer. In&#13;
addition, we define an evaluation methodology to be used to benchmark&#13;
and compare different alternatives for some components of the system,&#13;
and we validate the architecture with experiments using a dataset of 40&#13;
million locations of drivers.
</summary>
<dc:date>2018-01-01T00:00:00Z</dc:date>
</entry>
</feed>
