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Transition Probability: A Novel Modeling Approach of Energy Consumption for Storage Subsystem |
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PP: 371-377 |
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Author(s) |
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Qiang Zou,
Yong Li,
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Abstract |
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| In order to reduce power consumption in disk-based storage
systems, based on the definition of multiple power states, a lot of
efforts focus on power consumption management mechanisms which can
be developed to allow system software to control transitions between
the power states. But, little work studies energy consumption and
performance metrics of I/O systems through the transition
probability among different disk modes. In this paper, we define the
transition probability mathematically from active mode to idle mode,
and propose a novel analytical approach to evaluate energy
consumption and performance metrics, such as queue length,
throughput, response time. Our proposed model might motivate storage
researchers to exploit a quick analysis toolkit and give some
insights for the design of power-aware storage systems. |
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