Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing
The Internet of Things (IoTs) is attracting the attention of scientists worldwide. With its explosive growth along with applications that require real-time computing power, a new technology called edge computing has emerged. As a result, edge computing has changed the way data are processed and hand...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9466143/ |
| _version_ | 1819138491848589312 |
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| author | Mais Nijim Hisham Albataineh |
| author_facet | Mais Nijim Hisham Albataineh |
| author_sort | Mais Nijim |
| collection | DOAJ |
| description | The Internet of Things (IoTs) is attracting the attention of scientists worldwide. With its explosive growth along with applications that require real-time computing power, a new technology called edge computing has emerged. As a result, edge computing has changed the way data are processed and handled back and forth for millions of devices worldwide, such as autonomous vehicles and electric cars. The confinement of cloud computing technology, such as a content delivery network (CDN), contributed significantly to edge computing development. Currently, this technology can meet the demands of ever-growing mobile devices and the IoTs. This paper describes a novel secure framework consisting of a hybrid storage architecture consisting of CDN, edge computing, and centralized storage. Centralized storage consists of multilevel storage systems that comprise solid-state drivers (SSDs) and hard disk drivers (HDDs), which provide optimal data storage solution for a wide variety of real-time data processing applications. Transforming the data back and forth between SSDs and HDDs is crucial for achieving high performance while meeting the edge device request deadline. Additionally, a new dynamic solid-state disk partitioning mechanism is introduced to optimize security for the proposed framework among hard disk drives. A partition from the solid-state disks to hard disk drives is assigned based on hard disk drive workloads. |
| first_indexed | 2024-12-22T11:07:37Z |
| format | Article |
| id | doaj.art-0fcc0a07c1d44e7f8899a7d45e603dff |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T11:07:37Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0fcc0a07c1d44e7f8899a7d45e603dff2022-12-21T18:28:15ZengIEEEIEEE Access2169-35362021-01-019924469245910.1109/ACCESS.2021.30927329466143Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge ComputingMais Nijim0https://orcid.org/0000-0003-3756-7134Hisham Albataineh1Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX, USADepartment of Physics and Geosciences, Texas A&M University-Kingsville, Kingsville, TX, USAThe Internet of Things (IoTs) is attracting the attention of scientists worldwide. With its explosive growth along with applications that require real-time computing power, a new technology called edge computing has emerged. As a result, edge computing has changed the way data are processed and handled back and forth for millions of devices worldwide, such as autonomous vehicles and electric cars. The confinement of cloud computing technology, such as a content delivery network (CDN), contributed significantly to edge computing development. Currently, this technology can meet the demands of ever-growing mobile devices and the IoTs. This paper describes a novel secure framework consisting of a hybrid storage architecture consisting of CDN, edge computing, and centralized storage. Centralized storage consists of multilevel storage systems that comprise solid-state drivers (SSDs) and hard disk drivers (HDDs), which provide optimal data storage solution for a wide variety of real-time data processing applications. Transforming the data back and forth between SSDs and HDDs is crucial for achieving high performance while meeting the edge device request deadline. Additionally, a new dynamic solid-state disk partitioning mechanism is introduced to optimize security for the proposed framework among hard disk drives. A partition from the solid-state disks to hard disk drives is assigned based on hard disk drive workloads.https://ieeexplore.ieee.org/document/9466143/Hybrid storage systemsmachine learningsatisfied ratiosecurity level |
| spellingShingle | Mais Nijim Hisham Albataineh Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing IEEE Access Hybrid storage systems machine learning satisfied ratio security level |
| title | Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing |
| title_full | Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing |
| title_fullStr | Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing |
| title_full_unstemmed | Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing |
| title_short | Secure-Stor: A Novel Hybrid Storage System Architecture to Enhance Security and Performance in Edge Computing |
| title_sort | secure stor a novel hybrid storage system architecture to enhance security and performance in edge computing |
| topic | Hybrid storage systems machine learning satisfied ratio security level |
| url | https://ieeexplore.ieee.org/document/9466143/ |
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