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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器在内存数据库中基准测试,用于构建大规模信息基础架构

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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:通用通信研究所(Ucri),内科特对通用通信技术进行了研究和开发:多语言机器翻译,口语,信息分析和超现实的交互技术,人们可以真正互连,随时随地,任何地方主题,以及任何方法,超越语言,文化,能力和距离的边界。为了增强通用通信技术,我们正试图开发一个大规模信息基础架构,该基础设施收集并存储各种信息,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关键技术之一是在内存数据库系统中分布。在本文中,我们介绍了一个大规模的信息基础设施,主要解释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,验证了是否" okuyama"满足基础设施的要求。此外,我们提供了一个集群系统的蓝图,在该系统上将构建基础设施。

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