中文摘要：

提出一种资源敏感的性能诊断方法．对于Web应用事务，该方法利用资源服务时间对于不同负载特征相对稳定的特点建立性能特征链，并依据运行时资源服务时间异常实现性能异常的有效检测、定位和诊断．实验结果表明，该方法可适应系统负载特征变化，诊断各种资源使用相关的性能异常．

英文摘要：

This paper proposes a resource-aware performance diagnostic method. For transactions in Web applications, the proposed method constructs performance profile chains based on the resource service time, which is stable for different workload characteristics. According to the anomaly of resource service time at application runtime, the proposed method provides an efficient solution to performance anomaly detection, location and diagnosis. Experimental results show that this method can effectively detect performance anomalies caused by different resource bottlenecks with changing workload characteristics.