Yilong Ye

Hangzhou Zhi Ke Fei Chuang Information Technology Co., Ltd., Hangzhou, Zhejiang, China

Abstract：

In the era of big data, cloud computing as a critical computing paradigm requires efficient and rational resource scheduling. This study investigates cloud computing resource scheduling in big data environments, with a focus on the application of intelligent optimization algorithms. The paper first analyzes the challenges in cloud computing resource scheduling under big data conditions, then elaborates on the principles and characteristics of several common intelligent optimization algorithms, and examines their optimization strategies for resource allocation. Through a combination of theoretical analysis and practical case studies, the research demonstrates the significant benefits of intelligent optimization algorithms in improving resource utilization and reducing energy consumption, providing new approaches and methodologies for cloud computing resource scheduling in big data environments.

Key Words：

big data; cloud computing; resource scheduling; intelligent optimization algorithm