Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
A Bayesian Approach to Online Performance Modeling for Database Appliances using Gaussian Models
 

Summary: A Bayesian Approach to Online Performance Modeling for
Database Appliances using Gaussian Models
Muhammad Bilal Sheikh Umar Farooq Minhas Omar Zia Khan
Ashraf Aboulnaga Pascal Poupart David J Taylor
Cheriton School of Computer Science, University of Waterloo, Canada
{mbsheikh, ufminhas, ozkhan, ashraf, ppoupart, dtaylor} @uwaterloo.ca
ABSTRACT
In order to meet service level agreements (SLAs) and to main-
tain peak performance for database management systems (DBMS),
database administrators (DBAs) need to implement policies for ef-
fective workload scheduling, admission control, and resource pro-
visioning. Accurately predicting response times of DBMS queries
is necessary for a DBA to effectively achieve these goals. This task
is particularly challenging due to the fact that a database work-
load typically consists of many concurrently running queries and
an accurate model needs to capture their interactions. Additional
challenges are introduced when DBMSes are run in dynamic cloud
computing environments, where workload, data, and physical re-
sources can change frequently, on-the-fly. Building an efficient and
highly accurate online DBMS performance model that is robust in

  

Source: Aboulnaga, Ashraf - School of Computer Science, University of Waterloo
Poupart, Pascal - School of Computer Science, University of Waterloo

 

Collections: Computer Technologies and Information Sciences