Comparative Performance Analysis of Information Dispersal Methods

In this paper, we present an analysis of information dispersal methods for using in distributed storage systems, processing, and transmission of data. We provide a comparative study of the methods most widely used in practice considering performance, reliability and cryptographic security. There are...

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Main Authors: Maxim Deryabin, Nikolai Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton Nazarov, Mikhail Babenko
Format: Article
Language:English
Published: FRUCT 2019-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct24/files/Der.pdf
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author Maxim Deryabin
Nikolai Chervyakov
Andrei Tchernykh
Viktor Berezhnoy
Anvar Djurabaev
Anton Nazarov
Mikhail Babenko
author_facet Maxim Deryabin
Nikolai Chervyakov
Andrei Tchernykh
Viktor Berezhnoy
Anvar Djurabaev
Anton Nazarov
Mikhail Babenko
author_sort Maxim Deryabin
collection DOAJ
description In this paper, we present an analysis of information dispersal methods for using in distributed storage systems, processing, and transmission of data. We provide a comparative study of the methods most widely used in practice considering performance, reliability and cryptographic security. There are three main approaches to the information dispersal: Information Dispersal Algorithm by Rabin, Residue Number System (RNS) and Polynomial Residue Number System. We propose an efficient data recovery algorithm based on data representation in the RNS. Comprehensive experimental analysis shows that the most productive approach for bit length up to 256 bits is the use of the RNS with our developed algorithm. We show that the use of the RNS for the design of distributed storage systems, data transmission, and data processing, can significantly reduce the time of information processing.
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spelling doaj.art-ba5346d5de45481c9d075a3bc11662cd2022-12-22T02:28:59ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-01854246774Comparative Performance Analysis of Information Dispersal MethodsMaxim Deryabin0Nikolai Chervyakov1Andrei Tchernykh2Viktor Berezhnoy3Anvar Djurabaev4Anton Nazarov5Mikhail Babenko6North Caucasus Federal University, Stavropol, Russian FederationNorth Caucasus Federal University, Stavropol, Russian FederationCICESE Research Center, Ensenada, MexicoNorth Caucasus Federal University, Stavropol, Russian FederationNorth Caucasus Federal University, Stavropol, Russian FederationNorth Caucasus Federal University, Stavropol, Russian FederationNorth Caucasus Federal University, Stavropol, Russian FederationIn this paper, we present an analysis of information dispersal methods for using in distributed storage systems, processing, and transmission of data. We provide a comparative study of the methods most widely used in practice considering performance, reliability and cryptographic security. There are three main approaches to the information dispersal: Information Dispersal Algorithm by Rabin, Residue Number System (RNS) and Polynomial Residue Number System. We propose an efficient data recovery algorithm based on data representation in the RNS. Comprehensive experimental analysis shows that the most productive approach for bit length up to 256 bits is the use of the RNS with our developed algorithm. We show that the use of the RNS for the design of distributed storage systems, data transmission, and data processing, can significantly reduce the time of information processing.https://fruct.org/publications/fruct24/files/Der.pdf Information DispersalDistributed SystemsRedundant Residue Number SystemPerformanceErasure CodesReliable Storage
spellingShingle Maxim Deryabin
Nikolai Chervyakov
Andrei Tchernykh
Viktor Berezhnoy
Anvar Djurabaev
Anton Nazarov
Mikhail Babenko
Comparative Performance Analysis of Information Dispersal Methods
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Information Dispersal
Distributed Systems
Redundant Residue Number System
Performance
Erasure Codes
Reliable Storage
title Comparative Performance Analysis of Information Dispersal Methods
title_full Comparative Performance Analysis of Information Dispersal Methods
title_fullStr Comparative Performance Analysis of Information Dispersal Methods
title_full_unstemmed Comparative Performance Analysis of Information Dispersal Methods
title_short Comparative Performance Analysis of Information Dispersal Methods
title_sort comparative performance analysis of information dispersal methods
topic Information Dispersal
Distributed Systems
Redundant Residue Number System
Performance
Erasure Codes
Reliable Storage
url https://fruct.org/publications/fruct24/files/Der.pdf
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AT anvardjurabaev comparativeperformanceanalysisofinformationdispersalmethods
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