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Journal Article Providing scalable single-operating-system NUMA abstraction of physically discrete resources
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Authors
Baik Song An, Myung Hoon Cha, Sang-Min Lee, Won Hyuk Yang, Hong Yeon Kim
Issue Date
2024-06
Citation
ETRI Journal, v.46, no.3, pp.501-512
ISSN
1225-6463
Publisher
한국전자통신연구원
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.2023-0056
Abstract
With an explosive increase of data produced annually, researchers have been attempting to develop solutions for systems that can effectively handle large amounts of data. Single-operating-system (OS) non-uniform memory access (NUMA) abstraction technology is an important technology that ensures the compatibility of single-node programming interfaces across multiple nodes owing to its higher cost efficiency compared with scale-up systems. However, existing technologies have not been successful in optimizing user performance. In this paper, we introduce a single-OS NUMA abstraction technology that ensures full compatibility with the existing OS while improving the performance at both hypervisor and guest levels. Benchmark results show that the proposed technique can improve performance by up to 4.74 (Formula presented.) on average in terms of execution time compared with the existing state-of-the-art open-source technology.
KSP Keywords
Benchmark results, Cost Efficiency, Discrete resources, Formula presented, Non-Uniform Memory Access(NUMA), Scale-up, User Performance, execution time, existing state, large amounts of data, open source
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: