Cargando…
Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management
The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a g...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412250/ https://www.ncbi.nlm.nih.gov/pubmed/36015727 http://dx.doi.org/10.3390/s22165966 |
_version_ | 1784775447616159744 |
---|---|
author | Alzahrani, Ali Alyas, Tahir Alissa, Khalid Abbas, Qaiser Alsaawy, Yazed Tabassum, Nadia |
author_facet | Alzahrani, Ali Alyas, Tahir Alissa, Khalid Abbas, Qaiser Alsaawy, Yazed Tabassum, Nadia |
author_sort | Alzahrani, Ali |
collection | PubMed |
description | The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform. The migrations to the cloud are increasing, causing it to face new challenges and complexities. One of the essential segments is related to data storage. Data storage on the cloud is neither simplistic nor conventional; rather, it is becoming more and more complex due to the versatility and volume of data. The inspiration of this research is based on the development of a framework that can provide a comprehensive solution for cloud computing storage in terms of replication, and instead of using formal recovery channels, erasure coding has been proposed for this framework, which in the past proved itself as a trustworthy mechanism for the job. The proposed framework provides a hybrid approach to combine the benefits of replication and erasure coding to attain the optimal solution for storage, specifically focused on reliability and recovery. Learning and training mechanisms were developed to provide dynamic structure building in the future and test the data model. RAID architecture is used to formulate different configurations for the experiments. RAID-1 to RAID-6 are divided into two groups, with RAID-1 to 4 in the first group while RAID-5 and 6 are in the second group, further categorized based on FTT, parity, failure range and capacity. Reliability and recovery are evaluated on the rest of the data on the server side, and for the data in transit at the virtual level. The overall results show the significant impact of the proposed hybrid framework on cloud storage performance. RAID-6c at the server side came out as the best configuration for optimal performance. The mirroring for replication using RAID-6 and erasure coding for recovery work in complete coherence provide good results for the current framework while highlighting the interesting and challenging paths for future research |
format | Online Article Text |
id | pubmed-9412250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94122502022-08-27 Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management Alzahrani, Ali Alyas, Tahir Alissa, Khalid Abbas, Qaiser Alsaawy, Yazed Tabassum, Nadia Sensors (Basel) Article The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform. The migrations to the cloud are increasing, causing it to face new challenges and complexities. One of the essential segments is related to data storage. Data storage on the cloud is neither simplistic nor conventional; rather, it is becoming more and more complex due to the versatility and volume of data. The inspiration of this research is based on the development of a framework that can provide a comprehensive solution for cloud computing storage in terms of replication, and instead of using formal recovery channels, erasure coding has been proposed for this framework, which in the past proved itself as a trustworthy mechanism for the job. The proposed framework provides a hybrid approach to combine the benefits of replication and erasure coding to attain the optimal solution for storage, specifically focused on reliability and recovery. Learning and training mechanisms were developed to provide dynamic structure building in the future and test the data model. RAID architecture is used to formulate different configurations for the experiments. RAID-1 to RAID-6 are divided into two groups, with RAID-1 to 4 in the first group while RAID-5 and 6 are in the second group, further categorized based on FTT, parity, failure range and capacity. Reliability and recovery are evaluated on the rest of the data on the server side, and for the data in transit at the virtual level. The overall results show the significant impact of the proposed hybrid framework on cloud storage performance. RAID-6c at the server side came out as the best configuration for optimal performance. The mirroring for replication using RAID-6 and erasure coding for recovery work in complete coherence provide good results for the current framework while highlighting the interesting and challenging paths for future research MDPI 2022-08-10 /pmc/articles/PMC9412250/ /pubmed/36015727 http://dx.doi.org/10.3390/s22165966 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alzahrani, Ali Alyas, Tahir Alissa, Khalid Abbas, Qaiser Alsaawy, Yazed Tabassum, Nadia Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title | Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title_full | Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title_fullStr | Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title_full_unstemmed | Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title_short | Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management |
title_sort | hybrid approach for improving the performance of data reliability in cloud storage management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412250/ https://www.ncbi.nlm.nih.gov/pubmed/36015727 http://dx.doi.org/10.3390/s22165966 |
work_keys_str_mv | AT alzahraniali hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement AT alyastahir hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement AT alissakhalid hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement AT abbasqaiser hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement AT alsaawyyazed hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement AT tabassumnadia hybridapproachforimprovingtheperformanceofdatareliabilityincloudstoragemanagement |