1. 胡秩瑋

2.  INTRODUCTION  RELATED WORK  FORMULATION AND MODELING  SOLUTION METHOD DESIGN  ELECTRICITY PRICE AT CERTAIN LOCATIONS FOR GOOGLE INTERNET DATA CENTERS  PERFORMANCE EVALUATION  CONCLUSION AND FUTURE WORK

3.  As the developing of cloud computing, there are more and more Internet Data Centers(IDCs).  IDC demands a lot of power, it means that it costs much money.  The goal of this paper is to minimize the cost of IDCs while guaranteeing quality of service.

4.  Authors achieve the goal with linear programming and polynomial-time method.  The evaluations are based on real-life electricity price data.

5.  Two assumption: 1. The power consumption profile is constant for every server. 2. Each server at the same location receives the same traffic rate in steady-state.

10.  We are going to present a solution method for problem one in this section.  We approximate the problem by linear programming and solve it with polynomial- time algorithm.

13.  In this subsection, we show that Problem Two can be converted to a minimum cost flow problem.  we consider a simple case that N =3 and C = 5.

14. Total workload from 5 web servers Maximum workload that all locations can afford

15. California : hour-ahead market Texas : 15-min ahead market Atlanta : fixed electricity rate