Bro: a system for detecting network intruders in real-time
Computer Networks: The International Journal of Computer and Telecommunications Networking
What TCP/IP protocol headers can tell us about the web
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The effects of wide-area conditions on WWW server performance
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Measuring client-perceived response times on the WWW
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
USENIX-SS'06 Proceedings of the 15th conference on USENIX Security Symposium - Volume 15
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards highly reliable enterprise network services via inference of multi-level dependencies
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
AjaxScope: a platform for remotely monitoring the client-side behavior of web 2.0 applications
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
What's going on?: learning communication rules in edge networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Answering what-if deployment and configuration questions with wise
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
High performance web sites
Detailed diagnosis in enterprise networks
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Automating network application dependency discovery: experiences, limitations, and new solutions
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
New methods for passive estimation of TCP round-trip times
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
BenchLab: an open testbed for realistic benchmarking of web applications
WebApps'11 Proceedings of the 2nd USENIX conference on Web application development
Understanding website complexity: measurements, metrics, and implications
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
How far can client-only solutions go for mobile browser speed?
Proceedings of the 21st international conference on World Wide Web
Enabling the transition to the mobile web with WebSieve
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Demystifying page load performance with WProf
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Answering: techniques and deployment experience
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 2013 conference on Internet measurement conference
Mantis: automatic performance prediction for smartphone applications
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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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 services of Google and Yahoo, we find WebProphet predicts the median and 95th percentiles of the page load time distribution with an error rate smaller than 16% in most cases. Using Yahoo Maps as an example, we find that WebProphet reduces the problem of performance optimization to a small number of web objects whose optimization would reduce the page load time by nearly 40%.