Balancing Money and Time for OLAP Queries on Cloud Databases

Balancing Money and Time for OLAP Queries on Cloud Databases

Enterprise Database Management Systems (DBMSs) have to contend with resource-intensive and time-varying workloads, making them well-suited candidates for migration to cloud plat-forms { specifically, they can dynamically leverage the resource elasticity while retaining affordability through the pay-...

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Bibliographic Details
Main Author: Sabih, Rafia
Other Authors: Haritsa, Jayant R
Language:en_US
Published: 2017
Subjects:
Database Management Syatem (DBMS)
Virtual Machine
Google Cloud Services
Cloud Platforms
Cloud Databases
Cloud Query Processing Model
Multi-objective Query Optimization (MOQO)
Plan-based Identification of Knee (PIK )
Knee VM
Sub-Plan-based Identification of Knee (SPIK)
Computational and Data Sciences
Online Access:http://etd.iisc.ernet.in/handle/2005/2931
http://etd.ncsi.iisc.ernet.in/abstracts/3793/G27789-Abs.pdf

Internet

http://etd.iisc.ernet.in/handle/2005/2931
http://etd.ncsi.iisc.ernet.in/abstracts/3793/G27789-Abs.pdf

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