Abstract
Through research on the issues of data nodes being prone to loss, disorder, and failure in cloud computing data management systems, Designed cloud data recovery technology based on error correction encoding. The design of cloud data recovery technology mainly includes three types: data complete recovery technology, data precise positioning recovery technology, and partial data precise positioning recovery technology. In complete recovery technology, the new data encoding generated through recovery includes the storage point encoding of the disaster recovery system failure, as long as the recovered disaster recovery system supports maximum offset distance encoding. In precise positioning recovery technology, the system needs to accurately recover invalid or lost data encoding. Partial precision positioning recovery technology is a hybrid technology based on complete recovery technology and precision positioning recovery technology, and is not the focus of this article.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Komatsu S, Markman A, Mahalanobis A, Chen K, Javidi B (2017) Three-dimensional integral imaging and object detection using long-wave infrared imaging. Appl Opt 56(9):D120–D126
Chen Y, Huang FY, Shi FM, Liu BQ, Yu H (2019) Plane chessboard-based calibration method for a LWIR ultra-wide-angle camera. Appl. Opt. 58(4):744–751
Gschwandtner M, Kwitt R, Uhl A, Pree W (2011) Infrared camera calibration for dense depth map construction. In: Proceedings of the 2011 IEEE intelligent vehicles symposium (IV), Baden-Baden, pp 857–862
Ellmauthaler A, da Silva EAB, Pagliari CL, Gois JN, Neves SR (2014) A novel iterative calibration approach for thermal infrared cameras. In: IEEE international conference on image processing. Melbourne, VIC, pp 2182–2186
Vidas S, Lakemond R, Denman S, Fookes C, Sridharan S, Wark T (2012) A mask-based approach for the geometric calibration of thermal-infrared cameras. IEEE Trans Instrum Measur 61(6):1625–1635
Hilsenstein V (2005) Surface reconstruction of water waves using thermographic stereo imaging. Image Vis Comput N Zeal 2:102–107
Nosrati M, Karimi R (2011) Detection of circular shapes from impulse noisy images using median and Laplacian filter and circular Hough transform. In: Proceedings of the 2011 8th international conference on electrical engineering, computing science and automatic control. Merida City, pp 1–5
Acknowledgements
This work was supported in part by Natural Research Science Institute of Anhui Provincial Department of Education 2022AH051379; Natural Research Science Institute of Anhui Provincial Department of Education KJ2021A1110; Suzhou University Doctoral Research Initiation Fund Project 2023BSK023.Suzhou University School Level Quality Engineering Project szxy2023jyjf082.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sun, H., Lu, B. (2024). Research on the Application of Encoding Error Correction Technology in Cloud Computing Data Recovery. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_19
Download citation
DOI: https://doi.org/10.1007/978-981-99-7502-0_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7555-6
Online ISBN: 978-981-99-7502-0
eBook Packages: EngineeringEngineering (R0)