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ICSE
2007
IEEE-ACM

Performance Evaluation and Prediction for Legacy Information Systems

10 years 1 months ago
Performance Evaluation and Prediction for Legacy Information Systems
Database-centric information systems are critical to the operations of large organisations. In particular, they often process a large amount of data with stringent performance requirements. Currently, however, there is a lack of systematic approaches to evaluating and predicting their performance when they are subject to an exorbitant growth of workload. In this paper, we introduce such a systematic approach that combines benchmarking, production system monitoring, and performance modelling (BMM) to address this issue. The approach helps the performance analyst to understand the system's operating environment and quantify its performance characteristics under varying load conditions via monitoring and benchmarking. Based on such realistic measurements, modelling techniques are used to predict the system performance. Our experience of applying BMM to a real-world system demonstrates the capability of BMM in predicting the performance of existing and enhanced software architectures...
Yan Jin, Antony Tang, Jun Han, Yan Liu
Added 09 Dec 2009
Updated 09 Dec 2009
Type Conference
Year 2007
Where ICSE
Authors Yan Jin, Antony Tang, Jun Han, Yan Liu
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