Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments
Digital data is establishing enormously across the globe, which is considered highly valuable due to its significant contributions to facilitate different individuals’ lives. Even though technology evolving rapidly, data availability remains a major challenge due to the heterogeneity of the data wit...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
IEEE
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/93548/ |
| _version_ | 1848861867625152512 |
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| author | Mohd Ali, Fazlina Latip, Rohaya Alrshah, Mohamed A. Abdullah, Azizol Ibrahim, Hamidah |
| author_facet | Mohd Ali, Fazlina Latip, Rohaya Alrshah, Mohamed A. Abdullah, Azizol Ibrahim, Hamidah |
| author_sort | Mohd Ali, Fazlina |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Digital data is establishing enormously across the globe, which is considered highly valuable due to its significant contributions to facilitate different individuals’ lives. Even though technology evolving rapidly, data availability remains a major challenge due to the heterogeneity of the data with different types, platforms, and technologies. Additionally, the acquired data must be always available and accessible for users regardless of time and location, which appears to be another crucial issue due to many inefficient system implementations. The most essential option to solve this issue is by providing the best replication strategies that are able to afford business continuity without interruption. Essentially, cloud replication must be able to secure huge data by enabling comprehensive replication strategies, optimal data availability, fast data retrieval, and cost-effective data management and maintenance. Therefore, this paper mainly introduces the Vigorous Replication Strategy with Balanced Quorum (VRS-BQ) replica placement technique for minimizing storage consumption, response time and replication process time in cloud environments. Comprehensive experiments have been conducted using the well-known CloudSim simulation tool, in which the results reveal that the proposed VRS-BQ algorithm attains 25% lower average response time, 22% lower replication time, and 20% lower storage consumption compared to the existing DPRS algorithm while maintaining a high level of data availability. |
| first_indexed | 2025-11-15T13:07:57Z |
| format | Article |
| id | upm-93548 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:07:57Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-935482023-10-18T02:02:30Z http://psasir.upm.edu.my/id/eprint/93548/ Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments Mohd Ali, Fazlina Latip, Rohaya Alrshah, Mohamed A. Abdullah, Azizol Ibrahim, Hamidah Digital data is establishing enormously across the globe, which is considered highly valuable due to its significant contributions to facilitate different individuals’ lives. Even though technology evolving rapidly, data availability remains a major challenge due to the heterogeneity of the data with different types, platforms, and technologies. Additionally, the acquired data must be always available and accessible for users regardless of time and location, which appears to be another crucial issue due to many inefficient system implementations. The most essential option to solve this issue is by providing the best replication strategies that are able to afford business continuity without interruption. Essentially, cloud replication must be able to secure huge data by enabling comprehensive replication strategies, optimal data availability, fast data retrieval, and cost-effective data management and maintenance. Therefore, this paper mainly introduces the Vigorous Replication Strategy with Balanced Quorum (VRS-BQ) replica placement technique for minimizing storage consumption, response time and replication process time in cloud environments. Comprehensive experiments have been conducted using the well-known CloudSim simulation tool, in which the results reveal that the proposed VRS-BQ algorithm attains 25% lower average response time, 22% lower replication time, and 20% lower storage consumption compared to the existing DPRS algorithm while maintaining a high level of data availability. IEEE 2021-08-31 Article PeerReviewed Mohd Ali, Fazlina and Latip, Rohaya and Alrshah, Mohamed A. and Abdullah, Azizol and Ibrahim, Hamidah (2021) Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments. IEEE Access, 9. 121771 - 121785. ISSN 2169-3536 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 10.1109/ACCESS.2021.3108765 |
| spellingShingle | Mohd Ali, Fazlina Latip, Rohaya Alrshah, Mohamed A. Abdullah, Azizol Ibrahim, Hamidah Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title | Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title_full | Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title_fullStr | Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title_full_unstemmed | Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title_short | Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| title_sort | vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments |
| url | http://psasir.upm.edu.my/id/eprint/93548/ http://psasir.upm.edu.my/id/eprint/93548/ http://psasir.upm.edu.my/id/eprint/93548/ |