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An issue of great concern as it relates to global warming is power consumption and efficient use of computers especially in large data centers. Data centers have an important role in IT infrastructures because of their huge power consumption. This thesis explores the sleep state of data centers under specific conditions such as setup time and get optimal number of servers. Moreover, their potential to greatly increase energy efficiency in data centers. This research uses a dynamic power management policy based on a mathematical model. The methodology is based on how it can get to the optimal number of servers required in each tier while increasing servers' setup time after sleep mode to reduce the power consumption. The reactive approach is used to prove the results are valid and energy efficient. It calculates the average power consumption of each server under specific sleep mode and setup time. Then average power consumption is used to get the Normalized-Performance-Per watt to evaluate the power efficient methodology. The results indicate that the proposed schema is beneficial for data centers with high setup time.

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