Web Server Power Estimation, Modeling and Management

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