Baik Song An, Myung Hoon Cha, Sang-Min Lee, Won Hyuk Yang, Hong Yeon Kim
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引用次数: 0
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
on average in terms of execution time compared with the existing state-of-the-art open-source technology.
随着每年产生的数据呈爆炸式增长,研究人员一直在尝试开发能有效处理大量数据的系统解决方案。单操作系统(OS)非统一内存访问(NUMA)抽象技术是一项重要技术,它能确保单节点编程接口在多节点间的兼容性,因为与扩展系统相比,它具有更高的成本效益。然而,现有技术在优化用户性能方面并不成功。在本文中,我们介绍了一种单操作系统 NUMA 抽象技术,它既能确保与现有操作系统完全兼容,又能提高管理程序和客户级的性能。基准测试结果表明,与现有的最先进开源技术相比,所提出的技术在执行时间方面平均可提高性能达 4.74×$$ (次)。
期刊介绍:
ETRI Journal is an international, peer-reviewed multidisciplinary journal published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics.
Key topics of interest include high-performance computing, big data analytics, cloud computing, multimedia technology, communication networks and services, wireless communications and mobile computing, material and component technology, as well as security.
With an international editorial committee and experts from around the world as reviewers, ETRI Journal publishes high-quality research papers on the latest and best developments from the global community.