Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments
Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible....
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| Format: | Article |
| Language: | English |
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University of Baghdad, College of Science for Women
2021-12-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6624 |
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| author | M.A. Fazlina Rohaya Latip Azizol Abdullah Hamidah Ibrahim Mohamed A. Alrshah |
| author_facet | M.A. Fazlina Rohaya Latip Azizol Abdullah Hamidah Ibrahim Mohamed A. Alrshah |
| author_sort | M.A. Fazlina |
| collection | DOAJ |
| description | Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible. Hence, an appropriate replication strategy capable of selecting essential data is required in cloud replication environments as the solution. This paper proposed a Crucial File Selection Strategy (CFSS) to address poor response time in a cloud replication environment. A cloud simulator called CloudSim is used to conduct the necessary experiments, and results are presented to evidence the enhancement on replication performance. The obtained analytical graphs are discussed thoroughly, and apparently, the proposed CFSS algorithm outperformed another existing algorithm with a 10.47% improvement in average response time for multiple jobs per round. |
| format | Article |
| id | doaj-art-a6b63217c00747878bb7f0e7494f1ffc |
| institution | Kabale University |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-a6b63217c00747878bb7f0e7494f1ffc2025-08-20T03:56:55ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862021-12-01184(Suppl.)10.21123/bsj.2021.18.4(Suppl.).1356Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication EnvironmentsM.A. Fazlina0Rohaya Latip1Azizol Abdullah2Hamidah Ibrahim3Mohamed A. Alrshah4Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, 43400 Selangor, Malaysia / Malaysian Administrative Modernisation and Management Planning Unit (MAMPU), Setia Perdana 2, Setia Perdana Complex, Federal Government Administrative Centre, 62502 Putrajaya, MalaysiaFaculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, 43400 Selangor, MalaysiaFaculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, 43400 Selangor, MalaysiaFaculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, 43400 Selangor, MalaysiaFaculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, 43400 Selangor, MalaysiaCloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible. Hence, an appropriate replication strategy capable of selecting essential data is required in cloud replication environments as the solution. This paper proposed a Crucial File Selection Strategy (CFSS) to address poor response time in a cloud replication environment. A cloud simulator called CloudSim is used to conduct the necessary experiments, and results are presented to evidence the enhancement on replication performance. The obtained analytical graphs are discussed thoroughly, and apparently, the proposed CFSS algorithm outperformed another existing algorithm with a 10.47% improvement in average response time for multiple jobs per round.https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6624Cloud computing, Crucial File Selection, Data Replication, Replication Algorithm |
| spellingShingle | M.A. Fazlina Rohaya Latip Azizol Abdullah Hamidah Ibrahim Mohamed A. Alrshah Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments مجلة بغداد للعلوم Cloud computing, Crucial File Selection, Data Replication, Replication Algorithm |
| title | Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments |
| title_full | Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments |
| title_fullStr | Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments |
| title_full_unstemmed | Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments |
| title_short | Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments |
| title_sort | crucial file selection strategy cfss for enhanced download response time in cloud replication environments |
| topic | Cloud computing, Crucial File Selection, Data Replication, Replication Algorithm |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/6624 |
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