用于高性能数据分析的容器支持集群的设计和原型

2019 International Conference on Information Networking (ICOIN) Pub Date : 2019-01-01 DOI:10.1109/ICOIN.2019.8718135

Jincheol Kwon, N. Kim, Moonjoong Kang, Jong WonKim

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引用次数: 7

摘要

随着云原生计算范式的快速传播，云的利用已经成熟到能够适应灵活和可伸缩性的基于微服务的多功能应用程序服务。然而，在HPDA(高性能数据分析)工作负载的情况下，向云原生风格的计算基础设施的过渡仍然面临着实现支持容器的集群的几个障碍。为了解决围绕覆盖网络和存储访问的瓶颈互连的技术限制，在本文中，我们设计并原型化了一个容器支持的集群，该集群有效地无缝集成了HPDA集群的硬件和软件部分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design and Prototyping of Container-Enabled Cluster for High Performance Data Analytics

With the rapid spread of cloud-native computing paradigm, the utilization of cloud has been maturing to accommodate versatile microservices-based application services with agility and scalability. However, in case of HPDA (high-performance data analytics) workload, the transition toward cloud-native-style computing infrastructure is still facing several hurdles to realize container-enabled clusters. To address technical constraints around bottlenecked inter-connections for overlay networking and storage access, in this paper, we design and prototype a container-enabled cluster that effectively and seamlessly integrate the hardware and software pieces of HPDA cluster.

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2019 International Conference on Information Networking (ICOIN)

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