Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 Investigating the Influence of Data Architecture on the Performance of Kubernetes-based Applications
作者 廖峻鋒
Liao, Chun-Feng;Lu, An
貢獻者 資訊系
關鍵詞 container; container orchestration; Kubernetes; storage; data architecture; cloud native systems
日期 2025-01
上傳時間 24-Feb-2025 15:56:18 (UTC+8)
摘要 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.
關聯 Journal of Information Science and Engineering, Vol.41, No.1, pp.25-42
資料類型 article
DOI https://doi.org/10.6688/JISE.202501_41(1).0002
dc.contributor 資訊系
dc.creator (作者) 廖峻鋒
dc.creator (作者) Liao, Chun-Feng;Lu, An
dc.date (日期) 2025-01
dc.date.accessioned 24-Feb-2025 15:56:18 (UTC+8)-
dc.date.available 24-Feb-2025 15:56:18 (UTC+8)-
dc.date.issued (上傳時間) 24-Feb-2025 15:56:18 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/155828-
dc.description.abstract (摘要) 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.
dc.format.extent 145 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Information Science and Engineering, Vol.41, No.1, pp.25-42
dc.subject (關鍵詞) container; container orchestration; Kubernetes; storage; data architecture; cloud native systems
dc.title (題名) Investigating the Influence of Data Architecture on the Performance of Kubernetes-based Applications
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6688/JISE.202501_41(1).0002
dc.doi.uri (DOI) https://doi.org/10.6688/JISE.202501_41(1).0002