The case for persistent-connection HTTP
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Network performance effects of HTTP/1.1, CSS1, and PNG
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
A performance evaluation of hyper text transfer protocols
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites
Proceedings of the 11th international conference on World Wide Web
A smart hill-climbing algorithm for application server configuration
Proceedings of the 13th international conference on World Wide Web
Automated Cluster-Based Web Service Performance Tuning
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Adaptive overload control for busy internet servers
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Model-based resource provisioning in a web service utility
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Tuning mechanisms for two major parameters of Apache web servers
Software—Practice & Experience
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This paper presents a practical approach to automatically tuning the parameters of the Apache Web server. In particular, two significant parameters, KeepAliveTimeout and MaxClients, are dealt with. The notable features of our approach are twofold. First, it is easy to deploy because no modifications to Apache or the underlying operating system are required. Second, our approach is based on the detailed analysis on how each parameter affects the server's behavior. Experimental results demonstrate that our prototype works well on different workloads; it can discover almost optimal values and quickly adapt to workload changes.