DocumentCode :
2445021
Title :
Managing Workload Importance in Enterprise DBMSs
Author :
Niu, Baoning ; Xue, Yayan ; Martin, Patrick ; Powley, Wendy
Author_Institution :
Sch. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2010
fDate :
10-12 Nov. 2010
Firstpage :
168
Lastpage :
173
Abstract :
One of the desirable properties of enterprise DBMSs is the ability to manage workloads based on their importance to business. This calls for mechanisms that allow enterprise DBMSs to be able to translate the workload importance into resource allocation plans, which means workload importance must be quantitatively evaluated in order to play its role when enterprise DBMSs allocate system resources to workloads. This paper introduces a framework for implementing the translation and a process for quantifying workload importance. Under the framework, workload importance is encapsulated into an objective function that is optimized to derive resource allocation plans. A general form of workload utility functions is developed for simplifying the job of quantifying workload importance. Experiments show their effectiveness.
Keywords :
data mining; database management systems; resource allocation; enterprise DBMS; resource allocation; utility functions; workload importance; workload management; Feedback control; Guidelines; Operating systems; Quality of service; Resource management; Time factors; self-managing DBMSs; workload importance; workload management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8433-1
Electronic_ISBN :
978-0-7695-4228-7
Type :
conf
DOI :
10.1109/CEC.2010.36
Filename :
5708408
Link To Document :
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