Comparison of hashing methods for supporting of consistency in distributed databases

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dc.contributor.authorNikitin, V.
dc.contributor.authorKrуlov, E.
dc.date.accessioned2023-02-17T10:28:08Z
dc.date.available2023-02-17T10:28:08Z
dc.date.issued2022
dc.description.abstractenDistributed systems provide ability to use any services independently from users’ geolocation and to save productivity on the high level. Highly loaded systems need particularly meticulous optimization at all levels. Such systems include government, military and financial institutions, social networks, IoT and more. Data technologies are improving and giving developers more opportunities to enhance the usage of existing protocols. The growing intensity of information exchange makes it difficult to maintain consistency in distributed systems. This, in turn, may lead to the quality deterioration of end-user services or impose a number of restrictions with increasing latency. As both scenarios are undesirable, there is a need to improve parallel service processes to maintain consistency. One of the undesirable factors is the possibility of collisions during the synchronization of distributed database nodes. Hashing is applied to quickly check the changes. This method is simple in terms of implementation, but collision is unstable, especially in conditions of different variations of input data sets. Conflict situations may not be isolated due to the rapid updating of data and changes in their volume, which in turn produces a large number of combinations. In any case, the storage of outdated data can create conflict situations at the user level. The criticality of this depends on the industry where the system operates and how important data consistency is. For example, domain DNS updates are performed once a day and in most cases this is sufficient, but in the case of military systems this is unacceptable, as it can lead to human loss and financial loss due to the use of obsolete information.uk
dc.format.pagerangeС. 48-53uk
dc.identifier.citationNikitin, V. Comparison of hashing methods for supporting of consistency in distributed databases / V. Nikitin, E. Krуlov // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2022. – № 1 (40). – С. 48-53. – Бібліогр.: 4 назв.uk
dc.identifier.doihttps://doi.org/10.20535/1560-8956.40.2022.261646
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/52725
dc.language.isoenuk
dc.publisherКПІ ім. Ігоря Сікорськогоuk
dc.publisher.placeКиївuk
dc.sourceАдаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник, 2022, № 1 (40)uk
dc.subjectdistributed databasesuk
dc.subjectdistributed systemsuk
dc.subjecthashinguk
dc.subjecthash functionsuk
dc.subjectconsistencyuk
dc.subjectcollision resistanceuk
dc.subjectdata consistencyuk
dc.subject.udc004.65uk
dc.titleComparison of hashing methods for supporting of consistency in distributed databasesuk
dc.typeArticleuk

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Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2022. – № 1 (40)