Application-level Scheduling System for Intelligent Equipment Maintenance System

• Main Authors: Tsung-I Lin, 林宗逸
• Other Authors: Tein-Yaw Chung
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/09533560537189817925

碩士 === 元智大學 === 資訊工程學系 === 91 === A key element in an Intelligent Equipment Maintenance system（IEMS）is to monitor system parameters of an equipment in real-time. With real-time system parameter samples, IEMS can help operators in diagnosing equipment before severe damage or system break down occur. Real-time monitoring, however, generates huge sample data that must be saved in database for later processing. This thesis proposes an application-level scheduling scheme, called significance-based proportional service（SPS）, to effective allocate system resource, such as network bandwidth, so that high priority sample data can achieve high throughput. SPS is simple and suits well for a variable rate server. It decouples data significance from bandwidth. Extensive simulation has been performed to study the behavior of SPS. Also, we compare the performance of SPS with that of WRR and PDS. The simulation results show that SPS outperform WRR in data loss rate reduction for more significant data flow and outperform PDS in ill-behaved traffic prevention.