High-performance processing of traffic data for service operation systems

Service operation is important to realize customer satisfaction, which is to inform customers of the service status they use. For this purpose, various types of traffic data are used for such activities as quality of service surveillance, customer complaint handling, and network service design. The amount of traffic data is so great that high-speed and efficient database processing is needed to handle it. This paper proposes a high-speed and efficient processing method for traffic data which are log data and are used as statistical data. By efficient utilization of computer resources and a simple mechanism for recovery, it was found that the performance of the proposed system can be ten times that of a database management system.