Abstract

ALFONSO-CANTILLO, Ofir  and  SANCHEZ-ANSOLA, Eduardo. Parallel computing for the Cuban postal addresses geocoding. Ing. invest. y tecnol. [online]. 2020, vol.21, n.4, 00001.  Epub Nov 20, 2020. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2020.21.4.029.

Taking into account the speed and quantity of data generated today, the creation of systems capable of processing them in a short period of time has become a necessity. Spatial information is not exempt from this, so the use of Geographic Information Systems has become a necessity. GeoServer is one of the map servers that provides these functionalities through services. One of these services is geocoding, which is defined as the process of converting a postal address into geographic coordinates. A geocoding request may contain one or more addresses, the latter being known as batch geocoding and may be composed of an unlimited number of addresses. One of the techniques used to increase the processing capacity of geocoder systems is parallel computing, which uses multiple processing elements to solve a given problem. The objective of this work is to reduce the response times of the geocoding algorithms for batch addresses. To achieve this goal, several versions were developed for geocoding using parallel computing. Each of these versions was included in GeoServer as a web service and were evaluated, through the use of statistical tests, in order to obtain which of all versions offers the least processing time. Both for the development of the variants and for their validation, postal addresses of the Cuban national territory were taken into account, as it is the intended scope of this work. From the evaluation carried out, it can be affirmed that the version of the algorithm developed independently of the reference database is in which better times the answers are offered.

Keywords : Algorithm; geocoding; GeoServer; parallel computing; postal address.

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