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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/155828


    Title: Investigating the Influence of Data Architecture on the Performance of Kubernetes-based Applications
    Authors: 廖峻鋒
    Liao, Chun-Feng;Lu, An
    Contributors: 資訊系
    Keywords: container;container orchestration;Kubernetes;storage;data architecture;cloud native systems
    Date: 2025-01
    Issue Date: 2025-02-24 15:56:18 (UTC+8)
    Abstract: Kubernetes has gained significant importance and popularity as a leading container orchestration platform, facilitating the deployment and management of distributed applications. However, despite its widespread adoption, the exploration of data architecture in the context of Kubernetes-based applications remains limited. The design and configuration of data architecture of a Kubernetes cluster can profoundly impact the overall performance and scalability of applications. This paper aims to investigate the influence of data architecture on the performance of Kubernetes-based applications. By analyzing various aspects of data architecture we aim to understand their impact on crucial performance metrics through a series of experiments and performance evaluations. Specifically, we examine different data architecture configurations and their effects on application performance. The outcomes of this research contribute to enhancing the understanding of the relationship between data architecture and the performance of Kubernetes-based applications, empowering developers and system administrators to make informed decisions when optimizing and designing data architecture for their applications in a Kubernetes environment.
    Relation: Journal of Information Science and Engineering, Vol.41, No.1, pp.25-42
    Data Type: article
    DOI link: https://doi.org/10.6688/JISE.202501_41(1).0002
    DOI: 10.6688/JISE.202501_41(1).0002
    Appears in Collections:[Department of Computer Science ] Periodical Articles

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