On repairing erasure coded data in an active-passive mixed storage network
Date of Issue2015
School of Physical and Mathematical Sciences
Networked distributed storage systems (NDSS) use erasure codes in lieu of replication for realising data redundancy. An interesting research challenge is to derive the largest advantage from the trade–offs between storage overhead and reliability that erasure codes provide, while optimising them to satisfy specific storage needs like repairability and better degraded read performance. Many coding strategies for NDSS exploit the storage nodes' computational ability to improve on repairability by applying network coding techniques. However, not every storage node in a NDSS is necessarily endowed with computing capability. This paper studies the effects of passive nodes, i.e., nodes without computational ability, on the repairability of erasure coded data, and how they may impair the promised performance of novel coding techniques. Specifically, we determine a lower bound on the minimum storage overhead in an active–passive mixed storage network, indicative of the price to pay in storage to achieve bandwidth efficient repairability.
DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
International journal on information and coding theory
© 2015 Inderscience. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal on Information and Coding Theory, Inderscience. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [Article DOI: http://dx.doi.org/10.1504/IJICOT.2015.068697].