Energy Efficiency of a Web and Database Server System

2014 ◽  
Vol 5 (2) ◽  
pp. 29-48 ◽  
Author(s):  
Jukka Kommeri ◽  
Felipe Abaunza ◽  
Marko Niinimaki ◽  
Peter Thanisch ◽  
Tapio Niemi
Keyword(s):  
Energy Efficiency ◽  
Energy Savings ◽  
Wait Time ◽  
Efficiency Evaluation ◽  
Database Application ◽  
Database Server ◽  
Server Software ◽  
Energy Efficiency Evaluation ◽  
Server System

Energy-efficiency of server hardware, web server software and databases has been widely studied. However, studies that combine these aspects are rare. In this paper the authors present an energy-efficiency evaluation of a web and database application. They concentrate on the following aspects: server BIOS and operating system energy optimization and “bursting” i.e. queuing requests and then executing them in bursts. The authors have used the bursting method with both a database application and a web plus database application. Their results indicate about 10% energy savings using this method. They analyse the model by statistical tools and present an equation to express the quality of service versus burst wait time relationship.

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

2018 ◽  
pp. 62-88
Author(s):  
Marko Niinimäki ◽  
Felipe Abaunza ◽  
Tapio Niemi ◽  
Peter Thanisch ◽  
Jukka Kommeri
Keyword(s):  
Energy Efficiency ◽  
Energy Savings ◽  
Wait Time ◽  
Web Database ◽  
Industrial Grade ◽  
Server Software ◽  
System Energy ◽  
Energy Efficiency Evaluation ◽  
Efficient Query Processing

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.

scholarly journals Energy efficiency evaluation of oil producing economies in Africa: DEA, malmquist and multiple regression approaches

2021 ◽  
Vol 2 ◽  
pp. 100025
Author(s):  
Mark Awe Tachega ◽  
Xilong Yao ◽  
Yang Liu ◽  
Dulal Ahmed ◽  
Hui Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Multiple Regression ◽  
Efficiency Evaluation ◽  
Energy Efficiency Evaluation

ENERGY EFFICIENCY EVALUATION FOR A “GREEN” POWER GENERATION PROCESS WITH MINIMUM EFFORT ON CARBON DIOXIDE CAPTURE AND STORAGE

2012 ◽  
Vol 199 (12) ◽  
pp. 1642-1651 ◽  
Author(s):  
Suttichai Assabumrungrat ◽  
Janewit Phromprasit ◽  
Siriporn Boonkrue ◽  
Worapon Kiatkittipong ◽  
Wisitsree Wiyaratn ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Efficiency ◽  
Carbon Dioxide Capture ◽  
Efficiency Evaluation ◽  
Generation Process ◽  
Green Power ◽  
Energy Efficiency Evaluation ◽  
And Storage

scholarly journals Research on Multi-dimensional Energy Efficiency Assessment Technology of RIES

2020 ◽  
Vol 218 ◽  
pp. 01046
Author(s):  
Kuihua Wu ◽  
Zhijie Zheng ◽  
Lujie Qi ◽  
Rong Liang ◽  
Bo Yang
Keyword(s):  
Energy Efficiency ◽  
Evaluation System ◽  
Energy System ◽  
Assessment Method ◽  
Economic Benefits ◽  
Evaluation Index System ◽  
Efficiency Evaluation ◽  
Efficiency Assessment ◽  
Integrated Energy System ◽  
Energy Efficiency Evaluation

At present, there is a lack of regional comprehensive energy multi-dimensional evaluation system and calculation of different quality energy in the energy efficiency evaluation of regional integrated energy system. Based on this, this article carries out research on multi-dimensional energy efficiency evaluation index system and evaluation methods. First, this article form quantifiable evaluation indicators from the aspects of energy supply subsystem energy efficiency, energy conversion subsystem energy efficiency, grid energy efficiency, economic benefits and social benefits, and clarify the calculation methods of each evaluation indicator. Then this article calculate the indicator combination weight. Finally, a multi-dimensional energy efficiency assessment method for a regional integrated energy system is proposed, and an example is used to prove the effectiveness of the method.

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