CLOUD COMPUTING MODELLING BASED ON THE INTERSECTION OF CIRCLES AND DBSCAN FOR CHARACTERIZING DENSITY OF THE CITY

Abstract

The density of a city is very influential on to the environmental health of the city community. The character of a city needs to be developed and identified so that the advance coordination can be developed optimally. A city that will be built requires an information network pattern as a framework for the density center of the city environment.While a city that already exists, requires identification on to the density character as an effort to maintain the environmental health. The objective of this research was to provide a cloud computing model for a city in a computer network to control the density of the city environment. The intersection of circles and DBSCAN were used as the basis for modeling. The center of urban neighborhood density was marked as spatial data, where the coordinates were the center of the clusters. The urban environmental development plan was used as a labeling reference. Then, the computational design was interpreted, which waa the main result of the research. The main conclusion of this research was a method to control the density of the city environment based on cloud computing