Performance Comparison of Real-time Spatial Data Processing
Minkyu Park, Sora Nam, Chi‐Hwan Choi, Youn-Chul Shin, Wan-Sup Cho, Kyung-Hee Lee · 2015
The dramatic development of IT technology has increased absolute amount of data to store, analyze, and process for computers and it has also rapidly increased the amount of realtime processing for data stream which contains various information with the development of sensor devices. The existing real-time data processing method using RDBMS can generate partial data loss or processing delay when overload occurred. In this paper, applying IMDG, which is one of the spotlighted in in-memory computing area, recently, it is proposed a structure to be able to increase performance of spatial data processing in realtime. In addition, with the benchmark, it is checked that IMDG structure has high performance for spatial data processing speed with each other.