Research on Improving Efficiency of Cloud Service Resource Allocation Based on Data Engineering

Fangyuan Li

Authors

Fangyuan Li Amazon Web Services, Inc., AWS Global Sales, Seattle, Washington, 98121, USA Author

Keywords:

data engineering, cloud services, resource allocation, scheduling efficiency, intelligent scheduling

Abstract

With the increasingly complex development of cloud computing, the ability to reasonably allocate resources will play a key role in improving the overall system performance. From the perspective of data engineering, this study analyzes the issues of collection, modeling, and control of scheduling data. It explores the technical constraints of current cloud platforms, focusing on fast response and accurate matching. The study also combines artificial intelligence models for optimizing computer structure, aiming to create a resource allocation strategy focused on high-frequency scheduling, intelligent budgeting, and dynamic collaboration. Improve the agility, controllability and intelligence of the whole resource allocation system.

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