A METHOD BASED ON DYNAMIC VOLTAGE SCALING TECHNIQUE FOR POWER OPTIMIZATION

Abstract—Dynamic voltage scaling (DVS) has become a primary means for achieving power efficiency on many processor architectures. However, traditional DVS techniques cannot provide tight performance guarantees while scaling the clock frequency. We are present an elegant, theoretical approach to stochastically differentiate workloads. Based on load characterization, It is demonstrated our load-aware stochastic approach is able to reduce processor power consumption. It delivered a performance guarantee that is much better than what it is achievable with classical feedback controller. The relationship between voltage and energy makes dynamic voltage scaling (DVS) one of the powerful techniques for reduction of system power demands. Recently, techniques such as voltage down scaling, Razor DVS and Intelligent energy management have occurred as methods to voltage reduction.