Title :
Big Data in Memory: Benchmarking in Memory Database Using the Distributed Key-Value Store for Constructing a Large Scale Information Infrastructure
Author :
Iwazume, Michiaki ; Iwase, Takahiro ; Tanaka, Kiyoshi ; Fujii, Hiromitsu
Author_Institution :
Universal Commun. Res. Inst., Nat. Inst. of Inf. & Commun. Technol., Kyoto, Japan
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.
Keywords :
Big Data; distributed databases; storage management; UCRI; Universal Communication Research Institute; Web pages; big data; distributed key-value store; information analysis; input-output performance; large scale information infrastructure; memory database; memory storage; multi-lingual machine translation; okuyama system; spoken dialogue; ultra-realistic interaction technologies; universal communication technologies; Benchmark testing; Big data; Computers; Crawlers; Database systems; Distributed databases; Big Data; In Memory Database; Key-Value Store;
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location :
Vasteras
DOI :
10.1109/COMPSACW.2014.37