Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/18164
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dc.contributor.authorBabenko, M. G.-
dc.contributor.authorБабенко, М. Г.-
dc.contributor.authorShiriaev, E. M.-
dc.contributor.authorШиряев, Е. М.-
dc.contributor.authorGolimblevskaia, E. I.-
dc.contributor.authorГолимблевская, Е. И.-
dc.date.accessioned2021-09-14T07:48:53Z-
dc.date.available2021-09-14T07:48:53Z-
dc.date.issued2021-
dc.identifier.citationBabenko, 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 9460678ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/18164-
dc.description.abstractEnsuring 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 storageru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseries2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021-
dc.subjectReliabilityru
dc.subjectUncertaintyru
dc.subjectCloud computingru
dc.subjectError-correcting coderu
dc.subjectNumbering systemsru
dc.subjectResidue number system (RNS)ru
dc.subjectDigital storageru
dc.titleRRNS base extension error-correcting code for performance optimization of scalable reliable distributed cloud data storageru
dc.typeСтатьяru
vkr.instИнститут математики и информационных технологий имени профессора Н.И. Червяковаru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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