Examination of essential technologies and representative applications in RAID 6

Research Article
Open access

Examination of essential technologies and representative applications in RAID 6

Yuxuan Du 1*
  • 1 Sydney Smart Technology College, Northeastern University, Qinhuangdao, 066004, China    
  • *corresponding author 202019152@stu.neuq.edu.cn
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/32/20230187
ACE Vol.32
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-289-3
ISBN (Online): 978-1-83558-290-9

Abstract

The evolution of the Internet of Things (IoT) has significantly intensified the interconnectivity between various entities. The robust advancement of information technology has ushered in a societal upswing while simultaneously triggering an exponential increase in data volumes. Consequently, the efficiency of access to storage systems and the reliability of data are severely challenged. Researchers are actively seeking efficient solutions to these challenges. The RAID storage system, with its commendable access performance, excellent scalability, and relative affordability, has become a preferred choice for the storage servers of numerous enterprises. This paper delves into the workings of RAID 6, erasure codes, and capacity expansion, thereby exploring the feasibility of various capacity expansion strategies. Effectively, a well-designed expansion scheme can mitigate issues related to insufficient storage capacity. Simultaneously, the configuration of the code plays a crucial role in determining the expansion time and consequently influences expansion efficiency. Overall, the information and findings presented in this study contribute to enhancing our understanding and management of storage systems in an increasingly data-intensive era.

Keywords:

RAID6, erasure, expanded codes

Du,Y. (2024). Examination of essential technologies and representative applications in RAID 6. Applied and Computational Engineering,32,77-84.
Export citation

References

[1]. Kamyod C. CIA analysis for lorawan communication model[C]//2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering. IEEE, 2021: 394-397.

[2]. Yuan Z, You X, Lv X, et al. HDS: optimizing data migration and parity update to realize RAID-6 scaling for HDP[J]. Cluster Computing, 2021, 24(4): 3815-3835.

[3]. Maneas S, Mahdaviani K, Emami T, et al. Operational Characteristics of {SSDs} in Enterprise Storage Systems: A {Large-Scale} Field Study[C]//20th USENIX Conference on File and Storage Technologies (FAST 22). 2022: 165-180.

[4]. Kingsmore K M, Puglisi C E, Grammer A C, et al. An introduction to machine learning and analysis of its use in rheumatic diseases[J]. Nature Reviews Rheumatology, 2021, 17(12): 710-730.

[5]. Cheng Y, Wei J, Tan X, et al. Research on key technologies of data-oriented intelligent campus in 5G environment[C]//2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2022: 203-208.

[6]. Bennett H M, Stephenson W, Rose C M, et al. Single-cell proteomics enabled by next-generation sequencing or mass spectrometry[J]. Nature Methods, 2023, 20(3): 363-374.

[7]. Jiang T, Zhang G, Huang Z, et al. {FusionRAID}: Achieving Consistent Low Latency for Commodity {SSD} Arrays[C]//19th USENIX Conference on File and Storage Technologies (FAST 21). 2021: 355-370.

[8]. Mohsan S A H, Khan M A, Noor F, et al. Towards the unmanned aerial vehicles (UAVs): A comprehensive review[J]. Drones, 2022, 6(6): 147.

[9]. Alzahrani A, Alyas T, Alissa K, et al. Hybrid approach for improving the performance of data reliability in cloud storage management[J]. Sensors, 2022, 22(16): 5966.

[10]. Wu Y, Dai H N, Wang H, et al. A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 1175-1211.

Cite this article

Du,Y. (2024). Examination of essential technologies and representative applications in RAID 6. Applied and Computational Engineering,32,77-84.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-289-3(Print) / 978-1-83558-290-9(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.32
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Kamyod C. CIA analysis for lorawan communication model[C]//2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering. IEEE, 2021: 394-397.

[2]. Yuan Z, You X, Lv X, et al. HDS: optimizing data migration and parity update to realize RAID-6 scaling for HDP[J]. Cluster Computing, 2021, 24(4): 3815-3835.

[3]. Maneas S, Mahdaviani K, Emami T, et al. Operational Characteristics of {SSDs} in Enterprise Storage Systems: A {Large-Scale} Field Study[C]//20th USENIX Conference on File and Storage Technologies (FAST 22). 2022: 165-180.

[4]. Kingsmore K M, Puglisi C E, Grammer A C, et al. An introduction to machine learning and analysis of its use in rheumatic diseases[J]. Nature Reviews Rheumatology, 2021, 17(12): 710-730.

[5]. Cheng Y, Wei J, Tan X, et al. Research on key technologies of data-oriented intelligent campus in 5G environment[C]//2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2022: 203-208.

[6]. Bennett H M, Stephenson W, Rose C M, et al. Single-cell proteomics enabled by next-generation sequencing or mass spectrometry[J]. Nature Methods, 2023, 20(3): 363-374.

[7]. Jiang T, Zhang G, Huang Z, et al. {FusionRAID}: Achieving Consistent Low Latency for Commodity {SSD} Arrays[C]//19th USENIX Conference on File and Storage Technologies (FAST 21). 2021: 355-370.

[8]. Mohsan S A H, Khan M A, Noor F, et al. Towards the unmanned aerial vehicles (UAVs): A comprehensive review[J]. Drones, 2022, 6(6): 147.

[9]. Alzahrani A, Alyas T, Alissa K, et al. Hybrid approach for improving the performance of data reliability in cloud storage management[J]. Sensors, 2022, 22(16): 5966.

[10]. Wu Y, Dai H N, Wang H, et al. A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 1175-1211.

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.