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Energy consumption has become a vital design constraint in embedded systems. The demand for efficient energy management is critical in portable and embedded devices where the available battery service life is critical. It is also important in non-embedded systems so as to conserve energy consumed to bring down costs and also for accurate infrastructure support (for e.g., in a datacenter, the power consumed by several servers can impact the cooling needed for the room). Hence, it is an important field of study to enable efficient power management of devices, both embedded and otherwise. One of the main ideas in power management is to detect when a system is idle and scale down the power consumed in that state. When the system is at peak (or comparable), it is scaled back up so that the performance impact is kept minimum. Dynamic Voltage Scaling (DVS) is widely supported in current processors so as to maximize battery life/minimize power consumption in various systems. Further, certain components of a system can also be set to different sleep or standby modes wherein they are completely inactive and hence consume minimum or no power, thus reducing leakage power or power consumed in an idle state of the system. With recent advances in manufacturing technology, leakage or static power dominates the power consumption in a system, rather than the power consumed when