Performance Comparison of Containerized HBase Clusters on Kubernetes

Ta Chun Lo, Chun Ying Tao, Jyh Biau Chang, Ce Kuen Shieh

研究成果: Conference contribution

摘要

The demand for large-volume database storage has become an essential issue with the rising trend of big data. Since the NoSQL database performs better than SQL databases when handling extensive data, many developers choose the NoSQL database as their first choice. Among all the NoSQL databases, HBase has become a popular choice due to its flexibility and high efficiency in the big data processing field. HBase is a column-oriented NoSQL database. It uses HDFS storage and is suitable for integrating with Hadoop ecosystem applications. However, deploying an HBase cluster on bare metal or virtual machines could be pretty complicated and time-consuming. The container technology can make HBase installation more convenient. Nevertheless, containerized HBase can be deployed in different ways. Deploying the HBase cluster in a proper approach can achieve higher performance. In this research, we propose two approaches, namely the Container-dedicated approach and the Container-shared approach, to containerize HBase on Kubernetes. Two benchmark tools are used to compare their performance under different workloads. According to experiment results, the Container-dedicated approach is suitable for writeheavy and read/write balanced applications. The container-shared approach shows a better performance in read-heavy applications. The test result will give future developers a reference when designing a containerized HBase cluster.

原文English
主出版物標題RASSE 2022 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Symposium Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665494915
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Recent Advances in Systems Science and Engineering, RASSE 2022 - Tainan, Taiwan
持續時間: 2022 11月 72022 11月 10

出版系列

名字RASSE 2022 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Symposium Proceedings

Conference

Conference2022 IEEE International Conference on Recent Advances in Systems Science and Engineering, RASSE 2022
國家/地區Taiwan
城市Tainan
期間22-11-0722-11-10

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 資訊系統
  • 資訊系統與管理

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