Title | ||
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Performance prediction and adaptation for database management system workload using Case-Based Reasoning approach. |
Abstract | ||
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•We develop autonomic framework for workload performance tuning.•Predictions are based on workload information available in advance before execution.•Many benchmark workloads of DSS and OLTP are executed for validation.•CBR approach better performed in comparison with machine learning techniques.•Performed ranking of classifiers and proposed CBR model stand out the best classifier. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.is.2018.04.005 | Information Systems |
Keywords | Field | DocType |
Workload management,Autonomic Computing,Case-based Reasoning,Prediction,Adaptation | Data mining,AWPP,Computer science,Workload,Online transaction processing,Decision support system,Test data,Case-based reasoning,Performance prediction,Performance tuning,Database | Journal |
Volume | ISSN | Citations |
76 | 0306-4379 | 2 |
PageRank | References | Authors |
0.36 | 24 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Basit Raza | 1 | 43 | 10.67 |
Yogan Jaya Kumar | 2 | 52 | 6.11 |
Ahmad Kamran Malik | 3 | 21 | 7.42 |
Adeel Anjum | 4 | 56 | 16.73 |
Muhammad Faheem | 5 | 3 | 1.39 |