Hierarchical coding to enable scalability and flexibility in heterogeneous cloud storage

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2019-12-01

Author

Yang, Siyi
Hareedy, Ahmed
Calderbank, Robert
Dolecek, Lara

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In order to accommodate the ever-growing data from various, possibly independent, sources and the dynamic nature of data usage rates in practical applications, modern cloud data storage systems are required to be scalable, flexible, and heterogeneous. Codes with hierarchical locality have been intensively studied due to their effectiveness in reducing the average reading time in cloud storage. In this paper, we present the first codes with hierarchical locality that achieve scalability and flexibility in heterogeneous cloud storage using small field size. We propose a double- level construction utilizing so-called Cauchy Reed-Solomon codes. We then develop a triple-level construction based on this double-level code; this construction can be easily generalized into any hierarchical structure with a greater number of layers since it naturally achieves scalability in the cloud storage systems.

URI

https://hdl.handle.net/11511/98500

DOI

https://doi.org/10.1109/globecom38437.2019.9014049

Conference Name

2019 IEEE Global Communications Conference, GLOBECOM 2019

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Yang, A. Hareedy, R. Calderbank, and L. Dolecek, “Hierarchical coding to enable scalability and flexibility in heterogeneous cloud storage,” presented at the 2019 IEEE Global Communications Conference, GLOBECOM 2019, Hawaii, Amerika Birleşik Devletleri, 2019, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/98500.