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dc.contributor.authorNguyen, Ha Huy Cuong-
dc.contributor.authorNguyen, Tung Trong-
dc.contributor.authorTrinh, Trung Hai-
dc.date.accessioned2023-04-28T19:22:43Z-
dc.date.available2023-04-28T19:22:43Z-
dc.date.issued2019-12-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2019.2.2.158.169-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/31-
dc.description.abstractIn this era, several organizations are storing their data on cloud storage to meet the requirements of efficient operation like stability, scalability, and availability of services. Data replication services in cloud storage systems are there to improve performance. In this context, the requirements for ensuring data consistency became increasingly important. In this paper, we propose a virtual server solution for updating replication, efficiently resolving resources, detecting, preventing deadlocks at the data center. In this manuscript, we have shown that the proposed solution yields the results for the schema, which ensures consistent data on costs and latency. In this paper, we use the Open Stack tool, which incorporates a proposed algorithm Balancing Consistency Availability On System Physical Machine, for maintaining data consistency in Cloud Storage Systems.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectVirtual machineen_US
dc.subjectbest-efforten_US
dc.subjectdistributed environmentsen_US
dc.subjectCloud Storage Systemsen_US
dc.subjectmaintaining data consistencyen_US
dc.subjectCloud computingen_US
dc.titleCONSISTENCY MAINTENANCE IN DISTRIBUTED CLOUD STORAGE SYSTEMSen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume2en_US
dc.source.issue2en_US
dc.source.beginpage158en_US
dc.source.endpage169en_US
dc.source.numberofpages12en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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