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Reducing energy consumption is one of the most important design aspects for small form-factor mobile platforms, such as smart-phones and tablets. Despite its potential for power savings, optimally leveraging system low-power sleep states during active mobile workloads, such as video streaming and web browsing, has not been fully explored. One major challenge is to make intelligent power management decisions based on, among other things, accurate system idle duration prediction, which is difficult due to the nondeterministic system interrupt behavior. In this paper, the authors propose a novel framework, called E2S3 (Energy Efficient Sleep-State Selection), that dynamically enters the optimal low-power sleep state to minimize the system power consumption.
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