Sirvi Autor "Puusepp, Karl Kristjan" järgi

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Model for Saving Energy in Distributed Systems Using QC-LDPC Codes
(Tartu Ülikool, 2025) Puusepp, Karl Kristjan; Skachek, Vitaly, juhendaja; Bocharova, Irina, juhendaja; Kudryashov, Boris, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Modern distributed data storage systems incur substantial energy costs, largely driven by the need to keep large numbers of disks spinning to guarantee data availability. In this thesis, an energy-aware storage architecture is proposed based on a quasi-cyclic LDPC code. A hybrid single-bit recovery procedure is introduced that combines peeling decoding with Gaussian elimination to minimize complexity. Disk popularity skew is modeled under various parameters and Monte Carlo experiments demonstrate that the model yields potentially significant energy savings without sacrificing reliability.