Publication detail

Optimization of processing of enormous amounts of geographical data

BARTONĚK, D. OPATŘILOVÁ, I.

Original Title

Optimization of processing of enormous amounts of geographical data

Type

journal article - other

Language

English

Original Abstract

The paper deals with the optimization of processing of large volume of geographic data. The essence of the method is hierarchical decomposition of the set of processes into elementary processes and the allocation of means to these processes. The means can be of three types: hardware, software or human factor, eventually combination of these types. Each elementary process can be processed at one of these means in certain time. Generally, the processes and the means can be interdependent or independent. The described problem can be represented using an oriented graph, where nodes correspond to the processes or the means and edges represent either the interdependence of processes and means, or the processing time of certain process on a given mean. The map of processes is formed on the basis of the graph. This map contains temporal continuity of solutions of sub-processes. Then, the duration of all processes is compiled from this map, which must be less than the time solving a task in the required quality of results. If not, the pairs of sub process–mean are replaced alternative pairs according to the map of processes with lower duration. The special algorithm was designed for this task. If the sum of the durations of all processes complies with solutions, the optimization ends and at this time the sub-processes and their allocated means are defined. The proposed method of data processing was realized in the project of data analysis of storage of gas facilities under certain types of terrain surface in the Czech Republic with the area of 64,350 km2.

Keywords

process scheduling, optimization, GIS

Authors

BARTONĚK, D.; OPATŘILOVÁ, I.

RIV year

2015

Released

1. 3. 2015

Publisher

AWER Proceedia

Location

Turecko

ISBN

2147-5369

Periodical

AWERProcedia Information Technology and Computer Science

Year of study

2015

Number

8

State

Republic of Turkey

Pages from

108

Pages to

118

Pages count

11

URL

BibTex

@article{BUT114427,
  author="Dalibor {Bartoněk} and Irena {Opatřilová}",
  title="Optimization of processing of enormous amounts of geographical data",
  journal="AWERProcedia Information Technology and Computer
Science",
  year="2015",
  volume="2015",
  number="8",
  pages="108--118",
  issn="2147-5369",
  url="http://www.world-education-center.org/index.php/P-ITCS/article/view/3660/3310"
}