Energy-Efficient Query Processing in a Combined Database and Web Service Environment

Author:

Niinimäki Marko1,Abaunza Felipe2,Niemi Tapio3,Thanisch Peter4,Kommeri Jukka5

Affiliation:

1. Webster University Thailand, Thailand

2. University of Lausanne, Switzerland

3. Helsinki Institute of Physics, Switzerland

4. University of Tampere, Finland

5. Helsinki Institute of Physics, Finland

Abstract

The energy-efficiency of server hardware, web server software, and databases has been widely studied. However, studies that combine these aspects are rare. In this chapter, the authors present an energy-efficiency evaluation of a web/database application in a Windows/IIS/MSSQL environment running on an industrial grade Intel server. Moreover, they provide a wide overview of related research and technologies. Researchers have noticed that despite energy-saving technologies, energy consumption of data centers is still growing. To resolve this dilemma, the authors explore the background and propose concrete solutions. They concentrate on the following aspects: server BIOS/operating system energy optimization (limited impact) and “bursting” (i.e., queuing requests and then executing them in bursts). The authors have used the bursting method with both database and web/database applications. Their results indicate about 10% energy savings using this method. The authors analyse the model using statistical tools and present an equation to express the quality of service vs. burst wait time relationship.

Publisher

IGI Global

Reference30 articles.

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3. Belady, C. (2007). The green grid data center power efficiency metrics: PUE and DCIE. Technical Report MSU-CSE-00-2, The Green Grid.

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5. Fastrack for taming burstiness and saving power in multi-tiered systems

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