A Fuzzy-Based System for Decision of Compressed Image Degree Using Cluster Load Level

In recent years, floods caused by overflowing rivers due to heavy rains have caused significant damages. To prevent human casualties in the event of a disaster, it is necessary to provide appropriate information for prompt evacuation. However, in general the municipalities that provide evacuation information use low computational resource computers. So, there is a risk that the servers will overload by concentration of evacuees when a disaster occurs, causing delays or stoppages of evacuation information. Therefore, clustering of computers with low computational resources as a single computational resource is very important. Also, the continuous provision of map image of evacuated areas can be possible by adaptively compressing map image based on the server load condition. In this paper, we propose a Fuzzy-based system for decision of the compressed map image degree of evacuated areas during disasters using cluster load level. The experimental results show that the proposed system can change the compression of map image of evacuated areas according to the load level of the cluster system. Also, the evacuation route information displayed in the map image of evacuated areas is sufficiently readable.