Title
A generic auto-provisioning framework for cloud databases
Abstract
We discuss the problem of resource provisioning for database management systems operating on top of an Infrastructure-As-A-Service (IaaS) cloud. To solve this problem, we describe an extensible framework that, given a target query workload, continually optimizes the system's operational cost, estimated based on the IaaS provider's pricing model, while satisfying QoS expectations. Specifically, we describe two different approaches, a ¿white-box¿ approach that uses a fine-grained estimation of the expected resource consumption for a workload, and a ¿black-box¿ approach that relies on coarse-grained profiling to characterize the workload's end-to-end performance across various cloud resources. We formalize both approaches as a constraint programming problem and use a generic constraint solver to efficiently tackle them. We present preliminary experimental numbers, obtained by running TPC-H queries with PostsgreSQL on Amazon's EC2, that provide evidence of the feasibility and utility of our approaches. We also briefly discuss the pertinent challenges and directions of on-going research.
Year
DOI
Venue
2010
10.1109/ICDEW.2010.5452746
Data Engineering Workshops
Keywords
Field
DocType
Internet,constraint handling,database management systems,IaaS cloud,PostsgreSQL,TPC-H queries,black box approach,cloud databases,coarse grained profiling,constraint programming problem,database management systems,end-to-end performance,fine grained estimation,generic auto provisioning framework,generic constraint solver,infrastructure as a service,white box approach
Data mining,Profiling (computer programming),Workload,Computer science,Constraint programming,Server,Quality of service,Constraint satisfaction problem,Provisioning,Database,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
1943-2895
978-1-4244-6521-7
19
PageRank 
References 
Authors
1.04
13
3
Name
Order
Citations
PageRank
Jennie Rogers1576.32
Olga Papaemmanouil243127.21
Ugur Çetintemel33099208.64