Analysis of Dynamic Capacity Management Technology in Cloud Computing Infrastructure
DOI:
https://doi.org/10.71222/c5v1kh83Keywords:
cloud computing, dynamic capacity management, elastic expansion and contraction, automated schedulingAbstract
This paper discusses the method of dynamic capacity management under cloud computing architecture, focusing on the application of key technologies such as virtualization, automatic scheduling, data analysis and edge computing. Through real-time data monitoring and intelligent decision-making, cloud computing systems can analyze workload patterns and anticipate resource demands, enabling them to flexibly adjust resource allocation. This improves the efficiency of computing and storage resource configuration and meets constantly changing work needs. The combination of technologies such as elastic scaling and containerization management has improved the efficiency of resource utilization and further enhanced the flexibility and response efficiency of cloud computing to adapt to changes. This paper explores the application details of these advanced technologies in practical scenarios, with the goal of providing a theoretical basis and operational guidance for scale control of cloud computing systems, as well as supporting efficient operation and sustainable development in cloud computing environments.
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Copyright (c) 2025 Jingtian Zhang (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
