Announcing the Final Examination of Ruijun Wang for the degree of Doctor of Philosophy Time & Location: June 6, 2016 at 3:00 PM in HEC 356 Title: DEVELOPING A NEW POWER MANAGEMENT AND HIGH-RELIABILITY IN DATA-INTENSIVE ENVIRONMENT Emerging data-intensive applications

Emerging data-intensive applications are creating non-uniform CPU and I/O workloads which impose the requirement to consider both CPU and I/O effects in the power management strategies. Current approaches focus on scaling down the CPU frequency based on CPU busy/idle ratio without taking I/O into consideration. Therefore, they do not fully exploit the opportunities in power conservation. In this paper, we propose a novel power management scheme called MAR (model-free, adaptive, rule-based) in multiprocessor systems to minimize the CPU power consumption subject to performance constraints. By introducing new I/O wait status, MAR is able to accurately describe the relationship between core frequencies, performance and power consumption. Moreover, we adopt a model-free control method to filter out the I/O wait status from the traditional CPU busy/idle model in order to achieve fast responsiveness to burst situations and take full advantage of power saving.