학술논문
Towards Real-Time Analysis of Smart City Data: A Case Study on City Facility Utilizations
Document Type
Conference
Author
Source
2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) HPCC-SMARTCITY-DSS High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on. :1357-1364 Dec, 2016
Subject
Language
Abstract
Analyzing smart city data can reveal various important facts related to cities, thus smart city initiatives have attracted much attentions of computer science researchers as well as data scientists. Analyzing smart city data in a real-time manner is an important scenario of smart city data analysis. Real-time analysis can alert emergent situations (e.g., traffic accidents, squalls), recommend useful information (e.g., usable facilities on time, routes for destinations), and so forth. In this paper, we develop a real-time analytical system based on StreamOLAP (an OLAP system for streaming data) for smart city data analysis which enables OLAP-style analytics over streaming data, and apply the analytical system for real-world smart city data (namely, city facility utilization data). The application realizes that our system is feasible to analyse smart city data in a real-time manner.