Evaluating the energy efficiency of OLTP operations: A case study on PostgreSQL

Evaluating the energy efficiency of OLTP operations:A case study on PostgreSQL.

Authors: Raik Niemann 1,2, Nikolaos Korfiatis 2, Roberto Zicari 2, and Richard G ̈oebel 1

1 Institute of Information Systems, University of Applied Science Hof, Hof (Germany)
2 Chair for Database and Information Systems, Institute for Informatics and Mathematics, Goethe University Frankfurt, Frankfurt am Main (Germany)

With the continuous increase of online services as well as energy costs, energy consumption becomes a significant cost factor for the evaluation of data center operations. A significant contributor to that is the performance of database servers which are found to constitute the backbone of online services. From a software approach, while a set of novel data management technologies appear in the market e.g. key-value based or in-memory databases, classic relational database management systems (RDBMS) are still widely used. In addition from a hardware perspective, the majority of database servers is still using standard mag- netic hard drives (HDDs) instead of solid state drives (SSDs) due to lower cost of storage per gigabyte, disregarding the performance boost that might be given due to high cost.
In this study we focus on a software based assessment of the energy con- sumption of a database server by running three different and complete database workloads namely TCP-H, Star Schema Benchmark -SSB as well a modified benchmark we have derived for this study called W22. We profile the energy distribution among the most important server com- ponents and by using different resource allocation we assess the energy consumption of a typical open source RDBMS (PostgreSQL) on a stan- dard server in relation with its performance (measured by query time). Results confirm the well-known fact that even for complete workloads, optimization of the RDBMS results to lower energy consumption.

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Link to Big Data Lab Goethe University Frankfurt.

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