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Big Data in Memory: Benchmarking in Memory Database Using the Distributed Key-Value Store for Constructing a Large Scale Information Infrastructure

机译:内存中的大数据:使用分布式键值存储构建大型信息基础架构在内存数据库中进行基准测试

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The Universal Communication Research Institute (UCRI), NICT conducts research and development on universal communication technologies: multi-lingual machine translation, spoken dialogue, information analysis and ultra-realistic interaction technologies, through which people can truly interconnect, anytime, anywhere, about any topic, and by any method, transcending the boundaries of language, culture, ability and distance. To enhance the universal communication technology, we are trying to develop a large-scale information infrastructure which collects and stores diverse information including huge volumes of web pages from the networks. The one of most important key technologies to realize a large-scaled information infrastructure is a distributed in memory database system. In this paper, we introduced a large-scale information infrastructure, mainly explaining a distributed in-memory database system "okuyama" which is a key technology on our project. We examined the I/O performance of the in memory storage, which verified whether if "okuyama" meet requirements for the infrastructure. Furthermore we give a blueprint of cluster systems on which the infrastructure will be constructed.
机译:NICT的全球通信研究所(UCRI)进行有关通用通信技术的研究和开发:多语言机器翻译,口语对话,信息分析和超现实的交互技术,通过这些技术,人们可以随时随地真正地相互关联主题,并以任何方式超越语言,文化,能力和距离的界限。为了增强通用通信技术,我们正在尝试开发一个大型信息基础结构,该基础结构收集和存储各种信息,包括来自网络的大量网页。实现大规模信息基础架构的最重要的关键技术之一就是分布式内存数据库系统。在本文中,我们介绍了一个大规模的信息基础架构,主要介绍了分布式内存数据库系统“ okuyama”,这是我们项目的关键技术。我们检查了内存存储的I / O性能,验证了“ okuyama”是否满足基础架构的要求。此外,我们给出了将在其上构建基础结构的集群系统的蓝图。

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