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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, Ha Huy Cuong | - |
dc.contributor.author | Nguyen, Tung Trong | - |
dc.contributor.author | Trinh, Trung Hai | - |
dc.date.accessioned | 2023-04-28T19:22:43Z | - |
dc.date.available | 2023-04-28T19:22:43Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 2616-6127 | - |
dc.identifier.issn | 2617-4383 | - |
dc.identifier.other | https://doi.org/10.32010/26166127.2019.2.2.158.169 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/31 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Azerbaijan Journal of High Performance Computing | en_US |
dc.subject | Virtual machine | en_US |
dc.subject | best-effort | en_US |
dc.subject | distributed environments | en_US |
dc.subject | Cloud Storage Systems | en_US |
dc.subject | maintaining data consistency | en_US |
dc.subject | Cloud computing | en_US |
dc.title | CONSISTENCY MAINTENANCE IN DISTRIBUTED CLOUD STORAGE SYSTEMS | en_US |
dc.type | Article | en_US |
dc.source.journaltitle | Azerbaijan Journal of High Performance Computing | en_US |
dc.source.volume | 2 | en_US |
dc.source.issue | 2 | en_US |
dc.source.beginpage | 158 | en_US |
dc.source.endpage | 169 | en_US |
dc.source.numberofpages | 12 | en_US |
Appears in Collections: | Azerbaijan Journal of High Performance Computing |
Files in This Item:
File | Description | Size | Format | |
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doi.org_10.32010_26166127.2019.2.2.158.169.pdf | 600.4 kB | Adobe PDF | View/Open |
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