Prediction-Based Load Balancing in Heterogeneous Environment

• Main Authors: Chen, Yueh Ren, 陳躍仁
• Other Authors: Yang, Chu Sing
• Format: Others
• Language: zh-TW
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/13541281458387784872

碩士 === 國立中山大學 === 資訊工程研究所 === 83 === In heterogeneous distributed environment, load balancing is very important for overall system performance improvement. But load balancing is not a easy work. So in this thesis, we will use benchmark to normalize the difference between the systems and establish a prediction system to forecast the future load variation by some techniques like linear regression and pattern composition. This system will help users to decide the best host to execute their programs for the maximum utilization of all system resources. And it is hard to write distributed applications in heterogeneous environment, too. For this reason, we provide a transparency tool --- modified PVM, which scheduler has been improved by our prediction system to automatically balance the system load for more efficient system performance.