System-Level Performance Profiling and Simulation Framework for I/O-Intensive Applications

• Main Authors: Jen-Hao Chen, 陳人豪
• Other Authors: 洪士灝
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/31002459785793700100

碩士 === 臺灣大學 === 資訊工程學研究所 === 95 === I/O intensive server applications are among the most mportant applications. Evaluation of performance is key to success. In this thesis, a framework for I/O intensive applications is proposed and implemented. We implemented this framework with a set of tools based on DTrace, including a new performance tool that we integrated to take advantage of the CPU performance counters. Our simulator is based on SystemC, which simulates application execution and reveals its locking behaviors on a given platform. The simulator is parameterized and requires no recompilation to simulate different applications and platforms with human readable XML-based models, which enables the integration of the simulation by linking models generated from different tools. Our experimental results shows the proposed framework provides useful insights for I/O intensive server applications with information regarding to the runtime behavior of both application and kernel levels. The framework can be used to evaluate scalability, possible bottleneck/contentions and resource utilization for any given application even without its source code.