Analysis of Optimization Strategies for Big Data Storage and Processing in Cloud Computing Environment

Huayu Liu

Authors

Huayu Liu University of California Irvine, University of California, Irvine, CA, 92697, USA Author

Keywords:

cloud computing, big data, storage optimization, processing optimization, convergence trends

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.

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