Title
Performance prediction and adaptation for database management system workload using Case-Based Reasoning approach.
Abstract
•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 Raza14310.67
Yogan Jaya Kumar2526.11
Ahmad Kamran Malik3217.42
Adeel Anjum45616.73
Muhammad Faheem531.39