Title
Poster Session: Adapting Mixed Workloads To Meet Slos In Autonomic Dbmss
Abstract
Workload adaptation allows an autonomic database management system (DBMS) to efficiently make use of its resources and meet its Service Level Objectives (SLOs) by filtering or controlling the workload presented to it. Workload adaptation has been shown to be effective for OLAP and OLTP workloads. We outline a framework of workload adaptation and explain how it can be extended to manage mixed workloads comprised of both OLAP and OLTP queries. Experiments with IBM (R) DB2((R)) Universal Database (TM) are presented that illustrate the effectiveness of our techniques.
Year
DOI
Venue
2007
10.1109/ICDEW.2007.4401031
2007 IEEE 23RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, VOLS 1-2
Keywords
Field
DocType
service level,database management system
IBM,Service level objective,Workload,Computer science,Online transaction processing,Online analytical processing,Operating system
Conference
ISSN
Citations 
PageRank 
1943-2895
3
0.46
References 
Authors
2
5
Name
Order
Citations
PageRank
Baoning Niu1537.37
Patrick Martin227414.72
Wendy Powley332928.43
Paul Bird41198.78
Randy Horman5724.77