Analyzing stability in wide-area network performance
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Performance interactions between P-HTTP and TCP implementations
ACM SIGCOMM Computer Communication Review
The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Modeling the performance of HTTP over several transport protocols
IEEE/ACM Transactions on Networking (TON)
The performance of a service for network-aware applications
SPDT '98 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
In search of reliable usage data on the WWW
Selected papers from the sixth international conference on World Wide Web
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Adaptive performance prediction for distributed data-intensive applications
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Measuring Web performance in the wide area
ACM SIGMETRICS Performance Evaluation Review
Dynamic Server Selection using Bandwidth Probing in Wide-Area Networks
Dynamic Server Selection using Bandwidth Probing in Wide-Area Networks
A Dynamic Object Replication and Migration Protocol for an Internet Hosting Service
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
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This article proposes and evaluates measures for estimating the service time of a web client using server logs, only from the server side without introducing traffic into the network. The HTTP protocol is described as well as the different interactions between the web server, the communication components, and the web client application. The first measure is based on the time it takes for the web server application to deliver an object to its operating system, keeping in mind the buffer effect of the server network. The second measure also considers the inter-arrival times to the server application of the GET requests for the objects that are part of a web page. We propose formulas, validated experimentally, that relate the proposed measurements in the server with the different components that take part in a web transaction and the service time experienced by clients. We have carried out several experiments to evaluate the validity of the proposed measurements and the best measure estimates the service time of the client with an error below 20% for 90% of the requests. We observed a cyclic component in the measurements of the server that can simplify the estimation of future values. For this reason, the proposed measures may be used to know what is the service time the client perceives in each visit to a server. It can also be used by content distribution networks to choose between several replica located in different places in the Internet.