Analysis of Optimization Strategies for Big Data Storage and Processing in Cloud Computing Environment
Huayu Liu
Pinnacle Academic Press Proceedings Series, 2025, vol. 1, 60-65
Abstract:
With the rapid development of informatization and Internet technology, cloud computing and big data have become important pillars to promote the digital economy. Cloud computing, with its flexibility and elasticity, provides a strong technical support for big data storage and processing, and solves the limitations of traditional architectures in resource scheduling, scalability and efficiency. In the cloud computing environment, optimizing big data storage and processing strategies has become a crucial research topic across various fields. This paper systematically analyzes the convergence trend of cloud computing and big data and the main challenges faced, and proposes relevant strategies from multiple perspectives, such as storage backup, resource management, and processing process optimization, in order to achieve a comprehensive improvement in resource utilization efficiency and processing performance.
Keywords: cloud computing; big data; storage optimization; processing optimization; convergence trends (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://pinnaclepubs.com/index.php/PAPPS/article/view/29/32 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dba:pappsa:v:1:y:2025:i::p:60-65
Access Statistics for this article
More articles in Pinnacle Academic Press Proceedings Series from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().