{"title":"基于hadoop架构的大数据信息检索研究","authors":"Chen Jie, Chen Dongjie, Huang Bangming","doi":"10.1109/IWECA.2014.6845665","DOIUrl":null,"url":null,"abstract":"In recent years, due to the growing popularity of the human network behavior, we meet the new generation of big data era. This makes the emergence of characteristics that large data storage capacity and fast business growth. For large storage capacity, instability, low retrieval time caused by large data information, this paper demonstrate a distributed storage and server clustering approach to solve the problem of tradition storage capacity, high-availability of retrieval and servers. For the arrival of the era of big data, how to improve the retrieval time, the storage capacity and stability of system, these provide for the future construction of a guiding role.","PeriodicalId":383024,"journal":{"name":"2014 IEEE Workshop on Electronics, Computer and Applications","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Research on big data information retrieval based on hadoop architecture\",\"authors\":\"Chen Jie, Chen Dongjie, Huang Bangming\",\"doi\":\"10.1109/IWECA.2014.6845665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, due to the growing popularity of the human network behavior, we meet the new generation of big data era. This makes the emergence of characteristics that large data storage capacity and fast business growth. For large storage capacity, instability, low retrieval time caused by large data information, this paper demonstrate a distributed storage and server clustering approach to solve the problem of tradition storage capacity, high-availability of retrieval and servers. For the arrival of the era of big data, how to improve the retrieval time, the storage capacity and stability of system, these provide for the future construction of a guiding role.\",\"PeriodicalId\":383024,\"journal\":{\"name\":\"2014 IEEE Workshop on Electronics, Computer and Applications\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Workshop on Electronics, Computer and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWECA.2014.6845665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Electronics, Computer and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWECA.2014.6845665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on big data information retrieval based on hadoop architecture
In recent years, due to the growing popularity of the human network behavior, we meet the new generation of big data era. This makes the emergence of characteristics that large data storage capacity and fast business growth. For large storage capacity, instability, low retrieval time caused by large data information, this paper demonstrate a distributed storage and server clustering approach to solve the problem of tradition storage capacity, high-availability of retrieval and servers. For the arrival of the era of big data, how to improve the retrieval time, the storage capacity and stability of system, these provide for the future construction of a guiding role.