Paper Info
Title
Towards energy-efficient database cluster design
Abstract
Energy is a growing component of the operational cost for many "big data" deployments, and hence has become increasingly important for practitioners of large-scale data analysis who require scale-out clusters or parallel DBMS appliances. Although a number of recent studies have investigated the energy efficiency of DBMSs, none of these studies have looked at the architectural design space of energy-efficient parallel DBMS clusters. There are many challenges to increasing the energy efficiency of a DBMS cluster, including dealing with the inherent scaling inefficiency of parallel data processing, and choosing the appropriate energy-efficient hardware. In this paper, we experimentally examine and analyze a number of key parameters related to these challenges for designing energy-efficient database clusters. We explore the cluster design space using empirical results and propose a model that considers the key bottlenecks to energy efficiency in a parallel DBMS. This paper represents a key first step in designing energy-efficient database clusters, which is increasingly important given the trend toward parallel database appliances.
Year
DOI
Venue
2012
10.14778/2350229.2350280
PVLDB
Keywords
DocType
Volume
parallel dbms appliance,dbms cluster,towards energy-efficient database cluster,parallel database appliance,energy-efficient parallel dbms cluster,parallel dbms,appropriate energy-efficient hardware,parallel data processing,big data,energy-efficient database cluster,energy efficiency
Journal
5
Issue
ISSN
Citations 
11
Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 11, pp. 1684-1695 (2012)
34
PageRank 
References 
Authors
1.13
27
5
Name
Order
Citations
PageRank
Willis Lang130619.27
Stavros Harizopoulos2101866.91
Jignesh M. Patel34406288.44
Mehul A. Shah43547317.66
Dimitris Tsirogiannis547519.18