I have a very nice shaper in my linux box :-)

How the configurator works — it’s another question, here i will try to describe how one could configure her shaper with hash-based filtering.

So, this page about configuring linux kernel traffic shaper, which uses filter hashing for massive IP processing.

  1. Introduction
  2. Idea
  3. Task
  4. Configuring
  5. Real case
  6. Notes

Introduction

In a couple of words::

Shaper, in some sense, is a queueing discipline, which processes queue(s) of packets. Discipline may be classless or classfulClassful means that certain traffic may be shaped by certain class.

For certain traffic to be shaped by certain class, there is certain filter should be configured.

So, in some sense, classful discipline consists of two trees — tree of classes and tree of filters. Filters filter packets to classes, classes shape traffic.

Anyway, these topics discovered in a lot of manuals :-)

Why hashes.

«Filters tree» is a defined sequence of filters, with possible jumps between branches. But if tree has a lot of filters, it takes a lot of time to reach mathing one.

If while filters tree is a sequence of check an IP address for a match, it is far more effective to use hashes. Hash is a table of keys «matching» their «values», so for every key there may be only one value, and hash searching (»which value corresponds to this key?») is very fast.

In our case key is an IP address and value for a key is a filter, which filters a packet to a certain shaping class.

Surely, see also a LARTC HOWTO chapter for this.

Idea

So, if we create a table with 256 cells for /24 network and look for neede cell using IP address as a key, every needed filter we will find by one step. It would be 128 steps (in average) with no hash table.

If we need to manage two /24 networks, we can create three tables, two of them for 256 cells (for /24’s) and one with two cells. First select «proper» large table by «network» key and then find proper filter by IP (host part particularly).

Like this:

Lets take two /24, 192.168.1.0/24 and 192.168.2.0/24.

Third bytes are 00000001 and 00000010 (in binary format) respectively.

So, kernel with the very first filter chooses a cell in two-cells table — by third byte in IP address. In that cell there is a filter, which points to one of two 256-cells table, and uses fourth byte as a key. With this filter kernel can find the last (possibly) filter in particular cell of particular table. (»Posibly» — because that filter can point to elsewhere, be chained to other filter(s)). The last filter filters a packet to a class, which shapes a packet.

The task

We have:

  • Five networks /24: 192.168.1.0/24, 192.168.2.0/24 .. 192.168.5.0/24
  • Interface $DEV , directed to these networks

We need:

  • To shape packets depending on destination IP address
  • Unclassified traffic should be shaped on a special class

Configuring

We will want to have a script, which will configure our kernel… Or to configure kernel directly:

# it may be useful to distinct between
# configuring and creating script:
#tc="/sbin/tc"

tc="/bin/echo /sbin/tc"

Create root qdisc (class 90 — for unclassified traffic):

$tc qdisc add dev $DEV root handle 1: htb default 90

Root class:

$tc class add dev $DEV parent 1:0 classid 1:1 htb rate 100Mbit

Now we need to create «root filter» — other filters need this:

$tc filter add dev $DEV parent 1:1 prio 10 protocol ip u32

Create a table with five cells, one cell for every /24:

# divisor 5 --- table for 5 cells:
$tc filter add dev $DEV parent 1:1 protocol ip prio 10 handle 8: u32 divisor 5

Now let’s create five tables with 256 cells each:

for i in 1 2 3 4 5; do
$tc filter add dev $DEV parent 1:1 prio 10 handle ${i}: protocol ip u32 divisor 256
done

Now let’s fill upper table (with 5 cells), it must contain jumps to particular 256-cells table:

for i in 1 2 3 4 5; do
$tc filter add dev $DEV parent 1:1 protocol ip prio 10 \
u32 ht 8:$[i-1]: \
match ip dst 192.168.${i}.0/24 \
hashkey mask 0x000000ff at 16 \
link $i:
done

This means: put in cell $[i-1] of table 8 (ht 8:$[i-1]:) a filter, which takes a fourth byte
(hashkey mask 0x000000ff) of destination IP address (match ip dst 192.168.${i}.0/24), and uses it as a key for searching in table $i (link $i:).

Now — a «master filter», which uses tree bits of third byte as a key for searching in a main table:

$tc filter add dev $DEV parent 1:0 protocol ip prio 100 u32 ht 800:: \
match ip dst 192.168.0.0/21 \
hashkey mask 0x00000700 at 16 link 8:

It means — root filter (ht 800::) must check destination IP address and, if it matches one our networks, (match ip dst 192.168.0.0/21) use last three bits of third byte of address (hashkey mask 0x00000700 at 16) as a key for searching in table 8 (link 8:).

Now we may create classes/filters for our clients.

This is a very individual process (every administrator decides in which format she will store configuration data — classids, rates etc.), so for the sake of demonstration we will create one clients class and a filter for it:

# class 1: 320 --- parent for clients' classes:
$tc class add dev $DEV parent 1:1 classid 1:230 htb rate 30Mbit ceil 50Mbit quantum 1500 . . .
#
# particular client:

$tc class add dev $DEV parent 1:230 classid 1:431 htb rate 2Mbit ceil 10Mbit quantum 1500 burst . . .
$tc filter add dev $DEV protocol ip parent 1:0 prio 100 u32 ht 3:4: match ip dst 192.168.3.4 flowid 1:431

Last command means — In a fifth cell (numbered from zero!) of third table (for 192.168.3.0/24) out a filter, which will filter packets in class 1:431.

So in a loop we can create classes and filters for every client — and we actually fill our 256-cells tables with these filters.

Real case

In a real case the administrator may want to keep configuration data in a SQL database, real scripts may differ a lot but perform the same job. Such shapers scale quite well, we may double (tripe, quadruple etc ….) number of networks, but filters will work very fast.

Probably you will configure your shaper at a bridge — HTB works quite nice at bridged interfaces, with no IP address assigned.

Notes

  • When i worked on this configuration, i noticed that it is necessary to create a «whole» number of 256-cells tables: it should be equal to (2^^n – 1), where n is a number of /24 networks. So, i have to create more tables than i actually need, but otherwise it doesn’t work :-)
  • Cells are numbered starting with zero; cells numbers must be in hex. So, in the example above — u32 ht 3:4: match — four (4) is in hex, too :-)
  • This is the first beta draft :-)

Optimizing shaper — hashing filters (HTB)的更多相关文章

  1. Hashing filters for very fast massive filtering

    If you have a need for thousands of rules, for example if you have a lot of clients or computers, al ...

  2. 【Ansible 文档】【译文】模版(Jinja2)

    Templating (Jinja2) 正如在 variables 部分描述的那样, Ansible 使用Jinja2模版来启用动态表达式和访问变量. Ansible 扩展了许多 filtes 和 t ...

  3. 【Ansible 文档】【译文】常见问题

    http://docs.ansible.com/ansible/latest/faq.html 如何为一个task或者整个Playbook设置PATH或者任意其他环境变量? 通过environment ...

  4. 布隆过滤器(Bloom Filters)的原理及代码实现(Python + Java)

    本文介绍了布隆过滤器的概念及变体,这种描述非常适合代码模拟实现.重点在于标准布隆过滤器和计算布隆过滤器,其他的大都在此基础上优化.文末附上了标准布隆过滤器和计算布隆过滤器的代码实现(Java版和Pyt ...

  5. ABP(现代ASP.NET样板开发框架)系列之13、ABP领域层——数据过滤器(Data filters)

    点这里进入ABP系列文章总目录 基于DDD的现代ASP.NET开发框架--ABP系列之13.ABP领域层——数据过滤器(Data filters) ABP是“ASP.NET Boilerplate P ...

  6. ASP.NET MVC Filters 4种默认过滤器的使用【附示例】

    过滤器(Filters)的出现使得我们可以在ASP.NET MVC程序里更好的控制浏览器请求过来的URL,不是每个请求都会响应内容,只响应特定内容给那些有特定权限的用户,过滤器理论上有以下功能: 判断 ...

  7. Unity性能优化(3)-官方教程Optimizing garbage collection in Unity games翻译

    本文是Unity官方教程,性能优化系列的第三篇<Optimizing garbage collection in Unity games>的翻译. 相关文章: Unity性能优化(1)-官 ...

  8. Unity性能优化(4)-官方教程Optimizing graphics rendering in Unity games翻译

    本文是Unity官方教程,性能优化系列的第四篇<Optimizing graphics rendering in Unity games>的翻译. 相关文章: Unity性能优化(1)-官 ...

  9. [Algorithm] 局部敏感哈希算法(Locality Sensitive Hashing)

    局部敏感哈希(Locality Sensitive Hashing,LSH)算法是我在前一段时间找工作时接触到的一种衡量文本相似度的算法.局部敏感哈希是近似最近邻搜索算法中最流行的一种,它有坚实的理论 ...

随机推荐

  1. 转 velocity 模板使用总结

    Velocity是一个基于java的模板引擎.它允许任何人仅仅简单的使用模板语言来引用由java代码定义的对象. 当Velocity应用于web开发时,界面设计人员可以和java程序开发人员同步开发一 ...

  2. linux 命令大全(转)

    系统信息 arch 显示机器的处理器架构(1) uname -m 显示机器的处理器架构(2) uname -r 显示正在使用的内核版本 dmidecode -q 显示硬件系统部件 - (SMBIOS ...

  3. Masonry使用案列详解

    案例一: 要求:无论在什么尺寸的设备上(包括横竖屏切换),红色view都居中显示.

  4. Android为ViewPager增加切换动画——使用属性动画.

    ViewPager作为Android最常用的的组件之一,相信大家在项目中会频繁的使用到的,例如利用ViewPager制作引导页.轮播图,甚至做整个app的表现层的框架等等. Android3.0以下不 ...

  5. bzoj 2661: [BeiJing wc2012]连连看

    #include<cstdio> #include<iostream> #include<cstring> #include<cmath> #inclu ...

  6. 关于Linux下C编译错误(警告)cast from 'void*' to 'int' loses precision

    char *ptr; //此后省略部分代码 ) //出错地方 那句话的意思是从 void* 到 int 的转换丢失精度,相信看到解释有些人就明白了, 此问题只会出现在X64位的Linux上,因为在64 ...

  7. 一模 (1) day2

    第一题:(水题) 题目大意:就是给出扫雷的图,然后统计每个九宫格的雷的个数. 解题过程: 1.好久没做这样的水题了.直接模拟水过.. 第二题: 题目大意:给出一个长度小于1000的数k,要求一个尽可能 ...

  8. appjs desktop

    /*   author: daimajia       name: appjs Express example       email: daimajia@gmail.com       any qu ...

  9. Xcode6中segue取消原push与modal(deprecated)

    xcode6 之后push 和modal 就被废弃了.只能用于ios8之前.在拖线的时候我们就可以看见. 这两个方法被废弃了,我们需要找到合适的方法来代替,这时候我们发现 show 和Present ...

  10. Lib New

    gacutil /if E:\ThirdParty\RockyLib\Rocky\bin\Release\Rocky.dll gacutil /u Rocky partial class GmailF ...