Self-similarity in World Wide Web traffic: evidence and possible causes
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
ProWGen: a synthetic workload generation tool for simulation evaluation of web proxy caches
Computer Networks: The International Journal of Computer and Telecommunications Networking
Benchmarking Models and Tools for Distributed Web-Server Systems
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
GridBench: A Tool for Benchmarking Grids
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Simulation in Web data management
Applied system simulation
Monkey see, monkey do: a tool for TCP tracing and replaying
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
PARAID: A gear-shifting power-aware RAID
ACM Transactions on Storage (TOS)
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World Wide Web clients and servers have become some of the most important applications in our computing base, and we need realistic and meaningful ways of measuring their performance. Current server benchmarks do not capture the wide variation that we see in servers and are not accurate in their characterization of web traffic. In this paper, we present a self-configuring, scalable benchmark that generates a server benchmark load based on actual server loads. In contrast to other web benchmarks, our benchmark focuses on request latency instead of focusing exclusively on throughput sensitive metrics. We present our new benchmark hBench:Web, and demonstrate how it accurately models the load of an actual server. The benchmark can also be used to assess how continued growth or changes in the workload will affect future performance. Using existing log histories, we now that these predictions are sufficiently realistic to provide insight into tomorrow's Web performance.