首页|数字技术支持下的海量图像信息多云存储平台设计

数字技术支持下的海量图像信息多云存储平台设计

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为降低海量图像的存储内存占用率,并保证图像的存储安全性,设计数字技术支持下的海量图像信息多云存储平台.该平台包括Google Cloud、Amazon S3、Microsoft Azure等多个云服务,形成多云架构;通过客户端控制高性能的本地服务器,实现本地服务器和企业云存储服务之间的云通信;本地应用模块利用数字水印技术加密海量图像信息后,结合小波变换算法压缩该图像后,通过该通信方式上传压缩加密后海量图像信息至多云存储架构中.测试结果显示,该平台数据流标准方差均在0.27以下,内存占用率在22.6%以下,多云服务器的负载均衡度结果均在94.1%以上,能够保证图像质量不会发生损坏.
Design of Multi Cloud Storage Platform for Massive Image Information Sup-ported by Digital Technology
In order to reduce the storage memory usage of massive images and ensure the storage security of images,a multi cloud storage platform for massive image information supported by digital technology is designed.This plat-form includes multiple cloud services such as Google Cloud,Amazon S3,and Microsoft Azure,forming a multi cloud architecture.Control high-performance local servers through the client to achieve cloud communication between local servers and enterprise cloud storage services.The local application module uses digital watermarking technology to encrypt massive image information,and combines it with wavelet transform algorithm to compress the image.Through this communication method,the compressed and encrypted massive image information is uploaded to the multi cloud storage architecture.The test results show that the standard deviation of the data flow on the platform is below 0.27,the memory usage is below 22.6%,and the load balancing results of multiple cloud servers are above 94.1%.Can ensure image quality without damage.

digital technology supportmassive image informationmulti cloud storageimage compressiondigital water-mark encryptionwavelet transform

刘文林

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南昌职业大学 信息技术学院,南昌 330500

数字技术支持 海量图像信息 多云存储 图像压缩 数字水印加密 小波变换

江西省教育厅科学技术研究项目

GJJ2204511

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(2)
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