Workload Class Importance Policy in Autonomic Database Management Systems

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Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)

London, Ontario, Canada

June 05-June 07

ISBN: 0-7695-2598-9

	ASCII Text	x
	Harley Boughton, Pat Martin, Wendy Powley, Randy Horman, "Workload Class Importance Policy in Autonomic Database Management Systems," Policies for Distributed Systems and Networks, IEEE International Workshop on, pp. 13-22, Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06), 2006.

	BibTex	x
	@article{ 10.1109/POLICY.2006.39, author = {Harley Boughton and Pat Martin and Wendy Powley and Randy Horman}, title = {Workload Class Importance Policy in Autonomic Database Management Systems}, journal ={Policies for Distributed Systems and Networks, IEEE International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2598-9}, pages = {13-22}, doi = {http://doi.ieeecomputersociety.org/10.1109/POLICY.2006.39}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Policies for Distributed Systems and Networks, IEEE International Workshop on TI - Workload Class Importance Policy in Autonomic Database Management Systems SN - 0-7695-2598-9 SP13 EP22 A1 - Harley Boughton, A1 - Pat Martin, A1 - Wendy Powley, A1 - Randy Horman, PY - 2006 KW - null VL - 0 JA - Policies for Distributed Systems and Networks, IEEE International Workshop on ER -

Harley Boughton, Queen's University, Canada

Pat Martin, Queen's University, Canada

Wendy Powley, Queen's University, Canada

Randy Horman, IBM Toronto Lab, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/POLICY.2006.39

A key advantage of Autonomic Computing Systems will be their ability to manage according to business policies. A key challenge to realizing this ability is the problem of automatically translating high-level business policies into low-level system tuning policies, which is the result of the different semantics used at the two levels.

Economic models, which are expressed using business level concepts, have been used successfully in computer resource allocation problems. In this paper, we utilize an economic model to map business policies to resource allocation decisions in a database management system (DBMS). We focus on business policies that describe the relative importance of competing workloads on a DBMS. We present experiments with a simulation of the model that investigate a number of meanings of importance and identify how this additional information can be used to effectively allocate main memory resources in a commercial DBMS.

Citation:

Harley Boughton, Pat Martin, Wendy Powley, Randy Horman, "Workload Class Importance Policy in Autonomic Database Management Systems," policy, pp.13-22, Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06), 2006

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