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<script src="http://code.jquery.com/jquery-1.7.2.min.js"></script>
<script src="http://yandex.st/highlightjs/6.2/highlight.min.js"></script>
<script>hljs.initHighlightingOnLoad();</script>
<script type="text/javascript">
$(document).ready(function(){
$("h2,h3,h4,h5,h6").each(function(i,item){
var tag = $(item).get(0).localName;
#!/bin/sh
# Just copy and paste the lines below (all at once, it won't work line by line!)
# MAKE SURE YOU ARE HAPPY WITH WHAT IT DOES FIRST! THERE IS NO WARRANTY!
function abort {
echo "$1"
exit 1
}
set -e
# Author: Pieter Noordhuis
# Description: Simple demo to showcase Redis PubSub with EventMachine
#
# Update 7 Oct 2010:
# - This example does *not* appear to work with Chrome >=6.0. Apparently,
# the WebSocket protocol implementation in the cramp gem does not work
# well with Chrome's (newer) WebSocket implementation.
#
# Requirements:
# - rubygems: eventmachine, thin, cramp, sinatra, yajl-ruby
@lafengnan
lafengnan / iterm2-solarized.md
Created September 14, 2017 05:37 — forked from kevin-smets/iterm2-solarized.md
iTerm2 + Oh My Zsh + Solarized color scheme + Meslo powerline font + [Powerlevel9k] - (macOS)

Default

Default

Powerlevel9k

Powerlevel9k

##分布式系统(Distributed System)资料


#####希望转载的朋友,你可以不用联系我.但是一定要保留原文链接,因为这个项目还在继续也在不定期更新.希望看到文章的朋友能够学到更多.

介绍:这是一篇介绍在动态网络里面实现分布式系统重构的paper.论文的作者(导师)是MIT读博的时候是做分布式系统的研究的,现在在NUS带学生,不仅仅是分布式系统,还有无线网络.如果感兴趣可以去他的主页了解.

@lafengnan
lafengnan / latency.markdown
Created July 8, 2018 02:11 — forked from hellerbarde/latency.markdown
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs