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In order to accommodate the ever-growing data from various, possiblyindependent, sources and the dynamic nature of data usage rates in practicalapplications, modern cloud data storage systems are required to be scalable,flexible, and heterogeneous. Codes with hierarchical locality have beenintensively studied due to their effectiveness in reducing the average readingtime in cloud storage. In this paper, we present the first codes withhierarchical locality that achieve scalability and flexibility in heterogeneouscloud storage using small field size. We propose a double-level constructionutilizing so-called Cauchy Reed-Solomon codes. We then develop a triple-levelconstruction based on this double-level code; this construction can be easilygeneralized into any hierarchical structure with a greater number of layerssince it naturally achieves scalability in the cloud storage systems.

Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage