{"title":"内存中的大数据:在内存数据库中使用分布式键值存储进行机器对机器通信的基准测试","authors":"M. Iwazume, Takahiro Iwase, Kouji Tanaka, Hideaki Fujii, Makoto Hijiya, Hiroshi Haraguchi","doi":"10.1109/SNPD.2014.6888748","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":272932,"journal":{"name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Big data in memory: Benchimarking in memory database using the distributed key-value store for machine to machine communication\",\"authors\":\"M. Iwazume, Takahiro Iwase, Kouji Tanaka, Hideaki Fujii, Makoto Hijiya, Hiroshi Haraguchi\",\"doi\":\"10.1109/SNPD.2014.6888748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":272932,\"journal\":{\"name\":\"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2014.6888748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2014.6888748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
NICT的通用通信研究所(Universal Communication Research Institute, UCRI)致力于研究和开发通用通信技术:多语言机器翻译、口语对话、信息分析和超现实交互技术,使人们能够超越语言、文化、能力和距离的界限,在任何时间、任何地点、任何话题、以任何方式实现真正的互联互通。为了提高通用通信技术,我们正在尝试开发一个大规模的信息基础设施,以收集和存储来自网络的各种信息,包括大量的网页。分布式内存数据库系统是实现大规模信息基础设施的关键技术之一。本文介绍了一种大规模的信息基础设施,重点阐述了分布式内存数据库系统“okuyama”,这是本项目的关键技术。我们检查了内存存储的I/O性能,验证了“okuyama”是否满足基础设施的要求。此外,我们还给出了构建基础设施的集群系统的蓝图。
Big data in memory: Benchimarking in memory database using the distributed key-value store for machine to machine communication
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.