DocumentCode :
3415474
Title :
Web Server Power Estimation, Modeling and Management
Author :
Lien, Chia-Hung ; Bai, Ying-Wen ; Lin, Ming-Bo ; Chang, Chia-Yi ; Tsai, Ming-Yuan
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
Volume :
2
fYear :
2006
fDate :
Sept. 2006
Firstpage :
1
Lastpage :
6
Abstract :
An Internet server center provides multiple service sites by means of a multiple server pool. This paper presents a Scalable Multiple Server (SMS) architecture design for resource management in a server center, with an emphasis on the proper balance of energy and performance. The goals are to provide different servers for different service sites in a way that automatically adapts to the offered load and improve the energy efficiency of the server pool by dynamically reconfiguring the server pool in accordance with an analytic model. We analyze the power consumption of a Web server as a function of a server´s utilization based on experimental arrival data. Two power models such as linear and exponential are shown to fit the experimental arrival data. The linear model is used with a flow-equivalent approximate queuing analysis to minimize power consumption of the Web server. We validated our model by comparing the various working loads generated by a benchmark against measurements. The experimental results demonstrate the calculated values of the model tracks and the results generated by real machines. We also tested our SMS architecture by applying it to a real-life Web server center, and achieving a 16.9% reduction in energy consumption.
Keywords :
Internet; computer network management; file servers; queueing theory; reconfigurable architectures; resource allocation; Internet server center; SMS; Web server; exponential model; flow-equivalent approximate queuing analysis; linear model; power consumption; resource management; scalable multiple server architecture; Energy consumption; Energy management; Internet; Network servers; Operating systems; Power engineering and energy; Power system management; Resource management; Technology management; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks, 2006. ICON '06. 14th IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1556-6463
Print_ISBN :
0-7803-9746-0
Type :
conf
DOI :
10.1109/ICON.2006.302688
Filename :
4087759
Link To Document :
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