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基于机器学习算法的多媒体系统设计与数据存储优化。

Multimedia System Design and Data Storage Optimization Based on Machine Learning Algorithm.

机构信息

State Grid Zhejiang Electric Power Corporation Information and Telecommunication Branch, Hangzhou, Zhejiang, China.

出版信息

Comput Intell Neurosci. 2022 Aug 1;2022:6426551. doi: 10.1155/2022/6426551. eCollection 2022.

DOI:10.1155/2022/6426551
PMID:35958753
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9359831/
Abstract

With the advancement of science and technology, digital technology and Internet of Things network technology have been developed rapidly, and multimedia technology has also been widely used. Multimedia formats such as digital TV and elevator posters are shaking up traditional media. At the same time, many media operation models and multimedia technologies are combined to plan operational strategies, determine operational goals, and change the traditional media structure to achieve commercial profits and society benefit. However, due to limitations in the existing operating model or unreasonable technical solutions, it is not easy to maximize the value of multimedia technology. The XML-based database has been submitted, and it will carry out the business requirements of the transaction network and the business platform of the transaction network. Integrated management mechanism is analyzed and applied. The framework design includes parallel quota processing module, update processing module, result processing module, and storage library and database connection management module. The department runs multiple parts of the system together and completes the database. The development of cloud database is based on cloud computing. It can effectively fill the shortcomings and gaps of traditional database storage and processing, and it can also provide high-reciprocity databases to provide storage and management services. It has high reliability. Cloud servers use fair weighted rounding algorithms to achieve load balancing and use the in-memory database Redis to realize terminal data caching. After a comprehensive test of the system, the system can perform all functions normally, and it has good performance and stable operation.

摘要

随着科学技术的进步,数字技术和物联网网络技术得到了迅速发展,多媒体技术也得到了广泛应用。数字电视和电梯海报等多媒体格式正在颠覆传统媒体。同时,许多媒体运营模式和多媒体技术相结合,规划运营策略,确定运营目标,改变传统媒体结构,实现商业利润和社会效益。然而,由于现有运营模式的限制或不合理的技术解决方案,多媒体技术的价值不易最大化。已经提交了基于 XML 的数据库,并将开展交易网络的业务要求和交易网络的业务平台。综合管理机制进行分析和应用。框架设计包括并行配额处理模块、更新处理模块、结果处理模块以及存储库和数据库连接管理模块。该部门共同运行系统的多个部分,并完成数据库。云数据库的开发基于云计算。它可以有效地填补传统数据库存储和处理的不足和差距,也可以为提供高互惠性的数据库提供存储和管理服务。它具有高可靠性。云服务器使用公平加权循环算法来实现负载均衡,并使用内存数据库 Redis 来实现终端数据缓存。对系统进行全面测试后,系统可以正常执行所有功能,具有良好的性能和稳定的运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/5f2278d6b45c/CIN2022-6426551.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/e19afea6c56d/CIN2022-6426551.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/04b031857a11/CIN2022-6426551.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/cfc4720fb998/CIN2022-6426551.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/b2e61405b1fa/CIN2022-6426551.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/5f2278d6b45c/CIN2022-6426551.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/e19afea6c56d/CIN2022-6426551.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/04b031857a11/CIN2022-6426551.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/cfc4720fb998/CIN2022-6426551.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/b2e61405b1fa/CIN2022-6426551.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bdb/9359831/5f2278d6b45c/CIN2022-6426551.005.jpg

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