69cf3305_bstracts___IEEE_GreenTech_2013__Category____Sub_Category
[Paper Title, Abstract] Hybrid Storage System Power Optimization Show AbstractHide Abstract This paper presents an energy-efficient hybrid storage system framework. An integer linear programming (ILP) approach is used to formulate power optimization frameworks for each individual storage system. ILP power optimization frameworks with appropriate system constants, binary decision variables, and associated constraints are separately developed for a four power level Mobile Random Access Memory (MRAM) and a three power level Phase Change Memory (PCM). Subsequently, a hybrid configuration of MRAM and PCM storage systems is used to describe corresponding integer system variables and associated constraints under predefined power-level operation conditions to quantify actual power usage for programs with plausible execution patterns. The numerical results illustrate the efficiency of the proposed hybrid storage power optimization framework with respect to individual memory devices. [Schedule] TTA-GWRA [Category :: Sub-Category] 
Green IT and Communications
Abstracts « IEEE GreenTech 2013
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