Earticle

초록

영어

In cloud computing service it is important to share the system resource among multiple instances according to user requirements. In particular, the issue of efficiently distributing I/O resources across multiple instances is paid attention due to the rise of emerging data-centric technologies such as big data and deep learning. However, it is difficult to evaluate the I/O resource distribution of a Linux container, which is one of the core technologies of cloud computing, since conventional I/O benchmarks does not support features related to container management. In this paper, we propose a new I/O performance benchmarking framework that can easily evaluate the resource distribution of Linux containers using existing I/O benchmarks by supporting container-related features and integrated user interface. According to the performance evaluation result with trace-replay benchmark, the proposed benchmark framework has induced negligible performance overhead while providing convenience in evaluating the I/O performance of multiple Linux containers

목차

Abstract
1. Introduction
2. Design and Implementation
2.1 Design goals
2.2 Implementation
3. Experiment Results
4. Conclusion
Acknowledgement
References

키워드

저자

• Gijun Oh [ School of Computer Science and Engineering, Pusan National University, Korea ]
• Suho Son [ School of Computer Science and Engineering, Pusan National University, Korea ]
• Junseok Yang [ School of Computer Science and Engineering, Pusan National University, Korea ]
• Sungyong Ahn [ School of Computer Science and Engineering, Pusan National University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380