Researching on Big Data Storage Solutions

被引：0

作者：

Mao, Meihua ^{[1
]}

Cheng, Daolei ^{[1
]}

Liu, Xinqian ^{[1
]}

Mei, Yingtian ^{[1
]}

Tu, Jimin ^{[1
]}

机构：

[1] East China Jiaotong Univ, Sch Software, Nanchang, Peoples R China

来源：

NEW INDUSTRIALIZATION AND URBANIZATION DEVELOPMENT ANNUAL CONFERENCE: THE INTERNATIONAL FORUM ON NEW INDUSTRIALIZATION DEVELOPMENT IN BIG-DATA ERA | 2015年

关键词：

big data; server cluster; memcached system; powers-extension method; high concurrency;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Since the internet data explode exponentially, relying on the traditional data storm age solutions fail to meet current demand of large data storage. Based on the strategy which combines route server, logical server cluster, Memcached system and the master-slave database server cluster into a system, the paper puts forward powers-extension method to build a solution of high concurrency server cluster to store big data. The scheme can add server nodes with the increment of the number of users without affecting the normal use of original users. Storage solutions are suitable for the information storage of large internet company and have great commercial values.

引用

页码：219 / 224

页数：6

共 13 条

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