A Sampling and Measurement Based Control Policy for Switched Processing Systems

• Main Authors: Yi-Ping Lin, 林怡屏
• Other Authors: Ying-Chao Hung
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/a3u68d

碩士 === 國立中央大學 === 統計研究所 === 96 === Switched Processing Systems (SPS) represent a canonical model for many areas of applications of communication, computer and manufactur- ing systems. They are characterized by flexible, interdependent service capabilities and multiple classes of job traffic flows. Recently, increased attention has been paid to the issue of improving quality of service (QoS) performance in terms of delays and backlogs of the associated scheduling policies, rather than simply maximizing the system’s throughput. In this study, we investigate a sampling and measurement based control policy for switched processing systems that achieves the following objectives: (i) save a lot of memory, (ii) prediction and monitoring for intensity, (iii) re- duce the switch times of service modes, (iv) achieve maximal throughput in the systems and (v) improves performance with respect to delay. Finally, we perform the simulation study to show the performance assessment using propose policy.