WebProphet: Automating Performance Prediction for Web Services

Today, large-scale web services run on complex systems, spanning multiple data centers and content distribution networks, with performance depending on diverse factors in end systems, networks, and infrastructure servers. Web service providers have many options for improving service performance, varying greatly in feasibility, cost and benefit, but have few tools to predict the impact of these options. A key challenge is to precisely capture web object dependencies, as these are essential for predicting performance in an accurate and scalable manner. In this paper, we introduce WebProphet, a system that automates performance prediction for web services. WebProphet employs a novel technique based on timing perturbation to extract web object dependencies, and then uses these dependencies to predict the performance impact of changes to the handling of the objects. We have built, deployed, and evaluated the accuracy and efficiency of WebProphet. Applying WebProphet to the Search and Maps ...

• Type: Conference
• Year: 2010
• Where: NSDI
• Authors: Zhichun Li, Ming Zhang, Zhaosheng Zhu, Yan Chen, Albert G. Greenberg, Yi-Min Wang
• Keywords: Computer Networks, NSDI 2010, Performance, Web Object Dependencies, Web Services