https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf

Abstract

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.

Bigtable: A Distributed Storage System for Structured Data的更多相关文章

  1. Note: Bigtable, A Distributed Storage System for Structured Data

    Abstract Introduction::  Bigtable设计主旨:可扩地扩展到pByte级别和数千台机器的系统, 通用.可伸缩.高性能.高可用性.  不实现完整的关系数据模型,而是支持一个可 ...

  2. [IR] Bigtable: A Distributed Storage System for Semi-Structured Data

    良心博文: http://blog.csdn.net/opennaive/article/details/7532589 这里只是基础简述 众人说: 链接:http://blog.csdn.net/o ...

  3. Bigtable：A Distributed Storage System for Strctured Data

    2006 年10 月Google 发布三架马车之一的<Bigtable:A Distributed Storage System for Strctured Data>论文之后,Power ...

  4. Yandex Big Data Essentials Week1 Scaling Distributed File System

    GFS Key Components components failures are a norm even space utilisation write-once-read-many GFS an ...

  5. Storage System and File System Courses

    I researched a lot about storage system classes given at good universities this year. This had two r ...

  6. HDFS分布式文件系统（The Hadoop Distributed File System）

    The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to ...

  7. PacificA: Replication in Log-Based Distributed Storage Systems

    PacificA: Replication in Log-Based Distributed Storage Systems - Microsoft Research https://www.micr ...

  8. 1.1 Introduction中 Kafka as a Storage System官网剖析（博主推荐）

    不多说,直接上干货! 一切来源于官网 http://kafka.apache.org/documentation/ Kafka as a Storage System kafka作为一个存储系统 An ...

  9. f4: Facebook’s Warm BLOB Storage System——Erasure Code

    Facebook在OSDI 2014上发表论文f4: Facebook's Warm BLOB Storage System,这个系统主要目的就是降低存储成本,在容忍磁盘,主机,机架,数据中心的同时提 ...

随机推荐

  1. MySQL支持的列类型

     MySQL支持大量的列类型,它可以被分为3类:数字类型.日期和时间类型以及字符串(字符)类型.本节首先给出可用类型的一个概述,并且总结每个列类型的存储需求,然后提供每个类中的类型性质的更详细的描述. ...

  2. C++学习网站(转)

    想要学习C++,这里有一些很好资源. http://www.open-std.org/JTC1/SC22/WG21/ 这是C++标准的官网,这里是最全最新的,没有再比这个网站里的东西更有权威. htt ...

  3. C++primer学习笔记（一）——Chapter 3

    3.1 Namespace using Declarations 1.因为C++里有名字空间的定义,例如我们使用cin的时候必须写成std::cin,如果就用一次还是可以接受的,但是如果一直都这样,那 ...

  4. Visual Studio提示Bonjour backend初始化失败

    Visual Studio提示Bonjour backend初始化失败 错误信息:The Bonjour backend failed to initialize, automatic Mac Bui ...

  5. sssssssss

    构造函数new A 和new A()的区别,都是A类的实例化,后者可以向构造函数传参数. a=f(),指向window a=new f()指向当前函数的实例. Return b和return b()区 ...

  6. 安卓智能手持POS打印票据 扫描盘点移动开单软件/无线开单系统/PDA移动开单软件

    移动开单手持机,它通过WIFI或者GPRS连接并访问电脑数据,实现移动扫描开单,数据同步上传等功能.方便.实用,大大提高工作效率!安卓智能手持POS是一套适合大酒店.咖啡馆..洗衣店.按摩洗浴,商场等 ...

  7. POJ3057 Evacuation（二分图最大匹配）

    人作X部:把门按时间拆点,作Y部:如果某人能在某个时间到达某门则连边.就是个二分图最大匹配. 时间可以二分枚举,或者直接从1枚举时间然后加新边在原来的基础上进行增广. 谨记:时间是个不可忽视的维度. ...

  8. ural 1431. Diplomas

    1431. Diplomas Time limit: 1.0 secondMemory limit: 64 MB It might be interesting for you to learn th ...

  9. HDU 2579 (记忆化BFS搜索)

    题目链接: http://acm.hdu.edu.cn/showproblem.php?pid=2579 题目大意:走迷宫.对于障碍点,只有当前(dep+1)%k才能走,问最少时间. 解题思路: 只有 ...

  10. css3 flex流动自适应响应式布局样式类

    1.再说css3 flex 一旦一个容器赋予了display:flex属性,将会有以下特点: 项目无法设置浮动. 列表的样式会被清除. 无法使用vertical-align设置垂直对齐方式. 目前互联 ...