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Green Database

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Green Database
ECO FRIENDLY DATABASE

Varun Chauhan
MBA Student, Delhi Institute of Advanced Studies

Pranav Kharbanda
MBA Student, Delhi Institute of Advanced Studies

Vindhya Chhabra
B.Tech Student, Delhi Technical University (IT)

Sumit Jain
MBA Student, Delhi Institute of Advanced Studies

ECO FRIENDLY DATABASE

ABSTRACT

2. GREEN DATABASE Database should utilize several modern hardware capabilities. The purpose of our research study was based on the case of green data base undertaken by T Willis Lang and Jignesh M. Patel Computer Sciences Department University of Wisconsin Madison, USA, where we have suggested and studied the importance of database going ecofriendly and Data Centers and the Database management systems have always ignored the task of managing the energy consumed during query execution and query processing. The economic and environmental factors now require that Data Centers give attention to energy consumption and proper energy utilization. Energy efficiency, a new focus for general-purpose computing, has been a major technology driver in the mobile and embedded areas for some time. Earlier work emphasized extending battery life, but it has since expanded to include peak power reduction because thermal constraints began to limit further CPU performance improvements.

1. INTRODUCTION Rising concerns about the amount of energy consumed by the data centers, several computer hardware manufacturing companies are developing energy efficient components enabling to toggle the amount of power consumed by them at several workloads. But these features are not adopted by the Database Managements Systems which are one of the sources of large energy consumption. This report shows two techniques called Process Voltage/Frequency Control (PVC), Explicit Query Delays (QED) for trading energy efficiency into database systems with their experimental



References: 40(12):33–37, 2007. Cooling, volume 23, 2007. In The Uptime Institute - White Paper, 2007. Symposium on Computer Architecture, pages 13–23, 2007. Management, pages 24–28, 2008. from benchmarking 22 data centers. ACEEE Summer Study on Energy Efficiency in Buildings, 2006. JouleSort: A Balanced Energy-Efficiency Benchmark. In SIGMOD Conference, pages 365–376, 2007. and Management, 49(4), 2005. Database Syst., 13(1):23–52, 1988. [18]. EPA Technical Report, 2007.

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