Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
Characterizing the scalability of a large web-based shopping system
ACM Transactions on Internet Technology (TOIT)
Explaining World Wide Web Traffic Self-Similarity
Explaining World Wide Web Traffic Self-Similarity
Efficient approximation of response time densities and quantiles in stochastic models
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
SAP Performance Optimization Guide
SAP Performance Optimization Guide
Workload-intensity-sensitive timing behavior analysis for distributed multi-user software systems
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Parallelism and concurrency of stochastic graph transformations
ICGT'12 Proceedings of the 6th international conference on Graph Transformations
Design of a feature-based order acceptance and scheduling module in an ERP system
Computers in Industry
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The aim of this work is to provide some insight into the response-time statistics of enterprise resource planning systems. We propose a simple mean-field model for the response-time distribution in such systems. This model yields a log-normal distribution of response-times. We present data from performance measurements to support the result. The data show that the response-time distribution of a given transaction in a given system is generically a log-normal distribution or, in some situations, a sum of two or more log-normal distributions. Deviations of the log-normal form can often be traced back to performance problems in the system. Consequences for the interpretation of response-time data and for service level agreements are discussed.