Generating representative Web workloads for network and server performance evaluation
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Developing Internet e-commerce benchmarks
Information Systems - Special issue on information systems support for electronic commerce
A methodology for workload characterization of E-commerce sites
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Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
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TPC-W: A Benchmark for E-Commerce
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Application specific data replication for edge services
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ACM SIGMETRICS Performance Evaluation Review
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Workload-Aware Load Balancing for Clustered Web Servers
IEEE Transactions on Parallel and Distributed Systems
Performance impacts of autocorrelated flows in multi-tiered systems
Performance Evaluation
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ACM SIGMETRICS Performance Evaluation Review
How to parameterize models with bursty workloads
ACM SIGMETRICS Performance Evaluation Review
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Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
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Machine learning for on-line hardware reconfiguration
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Computer Standards & Interfaces
Reactivity-based approaches to improve web systems' quality of service
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HotStorage'13 Proceedings of the 5th USENIX conference on Hot Topics in Storage and File Systems
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Correctly interpreting benchmark results requires a basic knowledge of the synthetic workload the benchmark uses to determine how well it represents diverse e-commerce applications' real-world workloads. Factors that influence these results include the characteristics of the system under test, the procedures used to execute the tests, and the performance metrics the bench-mark generates. TPC-W performs server evaluation in a controlled Internet e-commerce environment that simulates the activities of a business-oriented transactional Web server. The authors used experimental results from their TPC-W implementation to assess the benchmark's behavior, including its granularity and sensitivity to changes in workload and system parameters.