计算机科学
PB级
服务器
数据库
搜索引擎索引
分布式数据存储
计算机数据存储
分布式数据库
大数据
万维网
操作系统
作者
Fay W. Chang,Jay B. Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Mike Burrows,Tushar Chandra,Andrew Fikes,Robert Gruber
出处
期刊:Operating Systems Design and Implementation
日期:2006-11-06
卷期号:: 205-218
被引量:1866
标识
DOI:10.5555/1298455.1298475
摘要
Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this paper we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable.
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