没有合适的资源?快使用搜索试试~ 我知道了~
高性能高并发服务器架构
资源详情
资源评论
资源推荐
由于自己正在做一个高性能大用户量的论坛程序,对高性能高并发服务器架构比较感兴
趣,于是在网上收集了不少这方面的资料和大家分享。希望能和大家交流
msn: defender_ios@hotmail.com
——————————————————————————————————————
—
初创网站与开源软件
......................................................................................................................9
谈谈大型高负载网站服务器的优化心得
!.................................................................................14
Lighttpd+Squid+Apache
搭建高效率
Web
服务器
....................................................................16
浏览量比较大的网站应该从哪几个方面入手?
....................................................................23
用负载均衡技术建设高负载站点
...............................................................................................26
大型网站的架构设计问题
..........................................................................................................33
开源平台的高并发集群思考
...................................................................................................34
大 型 、 高 负 载 网 站 架 构 和 应 用 初 探
时间:
30-45
分钟
............................................................................................................................35
说说大型高并发高负载网站的系统架构
.................................................................................37
mixi
技术架构
................................................................................................................................62
mixi.jp
:使用开源软件搭建的可扩展
SNS
网站
........................................................62
总概关键点:
..................................................................................................................62
1
,
Mysql
切分,采用
Innodb
运行
................................................................................62
2
,动态
Cache
服务器
-- ...............................................................................................62
美国
Facebok.com,
中国
Yeejee.com,
日本
mixi.jp
均采用开源分布式缓存服务器
Memcache.........................................................................................................................62
3
,图片缓存和加
............................................................................................................62
memcached+squid+apache deflate
解决网站大访问量问题
.......................................................63
FeedBurner:
基于
MySQL
和
JAVA
的可扩展
Web
应用
.............................................................63
YouTube
的架构扩展
.....................................................................................................................68
了解一下
Technorati
的后台数据库架构
...................................................................................70
Myspace
架构历程
.......................................................................................................................72
eBay
的数据量
...............................................................................................................................78
eBay
的应用服务器规模
...............................................................................................................81
eBay
的数据库分布扩展架构
......................................................................................................82
从
LiveJournal
后台发展看大规模网站性能优化方法
..............................................................84
Craigslist
的数据库架构
..............................................................................................................100
Second Life
的数据拾零
..............................................................................................................102
eBay
架构的思想金矿
.............................................................................................................103
一天十亿次的访问-
eBay
架构(一)
................................................................................105
七种缓存使用武器 为网站应用和访问加速发布时间
: ........................................................113
可缓存的
CMS
系统设计
............................................................................................................114
开发大型高负载类网站应用的几个要点
[nightsailer] ............................................................130
Memcached
和
Lucene
笔记
.......................................................................................................134
使用开源软件,设计高性能可扩展网站
.................................................................................135
面向高负载的架构
Lighttpd+PHP(FastCGI)+Memcached+Squid ...........................................140
思考高并发高负载网站的系统架构
.......................................................................................141
"
我在
SOHU
这几年做的一些门户级别的程序系统
(C/C++
开发
)".......................................143
中国顶级门户网站架构分析
1...................................................................................................146
中国顶级门户网站架构分析
2 ..............................................................................................148
服务器的大用户量的承载方案
.................................................................................................150
YouTube Scalability Talk..............................................................................................................151
High Performance Web Sites by Nate Koechley .........................................................................154
One dozen rules for faster pages.....................................................................................154
Why talk about performance?.........................................................................................154
Case Studies....................................................................................................................154
Conclusion.......................................................................................................................155
Rules for High Performance Web Sites........................................................................................155
对于应用高并发,
DB
千万级数量该如何设计系统哪?
......................................................155
高性能服务器设计
......................................................................................................................160
优势与应用:再谈
CDN
镜像加速技术
.................................................................................162
除了程序设计优化,
zend+ eacc(memcached)
外,有什么办法能提高服务器的负载能力呢
?
.........................................................................................................................................................165
如何规划您的大型
JAVA
多并发服务器程序
..........................................................................169
如何架构一个“
Just so so”
的网站?
........................................................................................178
最便宜的高负载网站架构
........................................................................................................185
负载均衡技术全攻略
................................................................................................................187
海量数据处理分析
......................................................................................................................198
一个很有意义的
SQL
的优化过程(一个电子化支局中的大数据量的统计
SQL
)
.......200
如何优化大数据量模糊查询(架构,数据库设置,
SQL..
)
............................................202
求助
:
海量数据处理方法
...........................................................................................................202
海量数据库查询方略
................................................................................................................203
SQL Server 2005
对海量数据处理
.............................................................................................204
分表处理设计思想和实现
..........................................................................................................216
Linux
系统高负载
MySQL
数据库彻底优化
(1)......................................................................224
大 型 数 据 库 的 设 计 与 编 程 技 巧
本 人 最 近 开 发 一 个 访 问 统 计 系 统 , 日 志 非 常 的 大 , 都 保 存 在 数 据 库 里 面 。
我 现 在 按 照 常规 的 设 计 方 法 对 表 进 行 设 计 , 已 经 出 现 了 查 询 非 常 缓 慢 地 情 形 。
大家对于这种情况如何来设计数据库呢?把一个表分成多个表么?那么查询和插入数据
库 又 有 什 么 技 巧 呢 ?
谢谢,村里面的兄弟们!
............................................................................................................228
方案探讨
,
关于工程中数据库的问题
. [
已结贴
] ......................................................................229
web
软件设计时考虑你的性能解决方案
...............................................................................236
大型
Java Web
系统服务器选型问题探讨
................................................................................240
高并发高流量网站架构
..............................................................................................................260
1.1
互联网的发展
..................................................................................................................260
1.2
互联网网站建设的新趋势
..............................................................................................261
1.3
新浪播客的简介
..............................................................................................................262
2.1
镜像网站技术
..................................................................................................................263
2.2 CDN
内容分发网络
.........................................................................................................264
2.3
应用层分布式设计
..........................................................................................................266
2.4
网络层架构小结
..............................................................................................................267
3.1
第四层交换简介
..............................................................................................................267
3.2
硬件实现
..........................................................................................................................268
3.3
软件实现
..........................................................................................................................269
网站架构的高性能和可扩展性
.................................................................................................298
资料收集:高并发 高性能 高扩展性
Web 2.0
站点架构设计及优化策略
.......................307
CommunityServer
性能问题浅析
..............................................................................................318
Digg PHP's Scalability and Performance......................................................................................319
YouTube Architecture...................................................................................................................322
Information Sources ...............................................................................................................322
Platform ..................................................................................................................................323
What's Inside? ........................................................................................................................323
The Stats .........................................................................................................................323
Recipe for handling rapid growth ..................................................................................323
Web Servers ....................................................................................................................324
Video Serving .................................................................................................................325
Serving Video Key Points ..............................................................................................326
Serving Thumbnails .......................................................................................................326
Databases ........................................................................................................................327
Data Center Strategy ......................................................................................................329
Lessons Learned .....................................................................................................................329
1.Jesse · Comments (78) · April 10th..............................................................................330
Feedblendr Architecture - Using EC2 to Scale.............................................................................347
The Platform ...........................................................................................................................348
The Stats .................................................................................................................................348
The Architecture .....................................................................................................................349
Lesson Learned ......................................................................................................................350
Related Articles ......................................................................................................................351
Comments................................................................................................................................351
Re: Feedblendr Architecture - Using EC2 to Scale........................................................351
Re: Feedblendr Architecture - Using EC2 to Scale........................................................352
Re: Feedblendr Architecture - Using EC2 to Scale........................................................353
PlentyOfFish Architecture.............................................................................................................354
Information Sources ...............................................................................................................355
The Platform ...........................................................................................................................355
The Stats .................................................................................................................................355
What's Inside ..........................................................................................................................356
Lessons Learned .....................................................................................................................359
Wikimedia architecture.................................................................................................................361
Information Sources ...............................................................................................................361
Platform ..................................................................................................................................361
The Stats .................................................................................................................................362
The Architecture .....................................................................................................................362
Lessons Learned .....................................................................................................................364
Scaling Early Stage Startups.........................................................................................................365
剩余450页未读,继续阅读
麦步
- 粉丝: 0
- 资源: 1
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论0