A Study of Data Segment Scheduling Strategies for Latency Fairness and Bandwidth Minimization in Real-Time Test Platforms on the Internet

• Main Authors: Yao, Hsu-Chan, 姚旭展
• Other Authors: Lai, Guan-Joe
• Format: Others
• Language: en_US
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/53578508999148079723

碩士 === 臺中師範學院 === 教育測驗統計研究所 === 90 === The e-learning is one of the important application of the Internet. The self-evaluation is an important process after user finishes the e-learning. How to service every examinee and to test in a fair environment are important topics on real-time test platforms. The system might make the test unfair because the resource is not enough. Therefore, this thesis needs to take care with the test-fairness problems. In general, the examinee likes to test on the fair environment. When the system’s resource is not enough, the test-delay situation may happen. However, there is no study to research the test-fairness problem. In this thesis, it proposes new data-segment strategies to solve the latency fairness and the bandwidth insufficient problems. This strategy can solve the problems after we simulate the data-segment strategies.