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 in planning for its capacity growth. 29th International Conference on Software Engineering (ICSE'07) 0-7695-2828-7/07 $20.00
To solve this problem REF uses the BMM method for obtaining the necessary data to predict the performance of legacy information system.
Performance Evaluation and Prediction for Legacy Information Systems
29th International Conference on Software Engineering (ICSE'07)
29th International Conference on Software Engineering (ICSE'07)
Computer Science