Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/18164
Title: RRNS base extension error-correcting code for performance optimization of scalable reliable distributed cloud data storage
Authors: Babenko, M. G.
Бабенко, М. Г.
Shiriaev, E. M.
Ширяев, Е. М.
Golimblevskaia, E. I.
Голимблевская, Е. И.
Keywords: Reliability;Uncertainty;Cloud computing;Error-correcting code;Numbering systems;Residue number system (RNS);Digital storage
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Babenko, M.; Tchernykh, A.; Pulido-Gaytan, B.; Cortes-Mendoza J. M.; Shiriaev, E.; Golimblevskaia, E.; Avetisyan, A.; Nesmachnow, S. RRNS base extension error-correcting code for performance optimization of scalable reliable distributed cloud data storage // 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021. - 2021. - Стр.: 548 - 553. - Номер статьи 9460678
Series/Report no.: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021
Abstract: Ensuring reliable data storage in a cloud environment is a challenging problem. One of the efficient mechanisms used to solve it is the Redundant Residue Number System (RRNS) with the projection method, a commonly used mechanism for detecting errors. However, the error correction based on the projection method has exponential complexity depending on the number of control and working moduli. In this paper, we propose an optimization mechanism using a base extension and Hamming distance to reduce the number of calculated projections. We show that they can be reduced up to three times than the classical projection method and, hence, the time complexity of data recovery in the distributed cloud data storage
URI: http://hdl.handle.net/20.500.12258/18164
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

Files in This Item:
File Description SizeFormat 
scopusresults 1866 .pdf1.74 MBAdobe PDFView/Open
WoS 1242 .pdf139.44 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.