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In this paper, the authors show that coding can be used in Storage Area Networks (SANs) to improve various Quality of Service metrics under normal SAN operating conditions, without requiring additional storage space. For their analysis, they develop a model which captures modern characteristics such as constrained I/O access bandwidth limitations. Using this model, they consider two important cases: Single-Resolution (SR) and Multi-Resolution (MR) systems. For SR systems, they use blocking probability as the Quality of Service metric and propose the Network Coded Storage (NCS) scheme as a way to reduce blocking probability. The NCS scheme codes across file chunks in time, exploiting file striping and file duplication.
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