案例 要求: 1.所有的www流量都得发出,而且web中遵从第一个速率侧策略的流量设置ip优先级为5,不遵从的就把ipprecedence设为0(尽力而为的传输)。 2.ftp流量遵从第二个速率策略的ip precedence设置为5,如果ftp超出速率策略就扔包。 3.其他剩余流量限制到8m,
案例要求:
1.所有的www流量都得发出,而且web中遵从第一个速率侧策略的流量设置ip优先级为5,不遵从的就把ipprecedence设为0(尽力而为的传输)。
2.ftp流量遵从第二个速率策略的ip precedence设置为5,如果ftp超出速率策略就扔包。
3.其他剩余流量限制到8m,普通突发大小为16000byte,最大突发大小为24000byte;遵从策略的流量设ip precedence为5,超出的流量扔包。
条件和动作:
什么是遵从的条件?
当要发的数据小于正常突发(bc)的时候。
最大条件?
要发的数据大于普通突发,小于最大突发(be)的时候
违章条件是?
要发的数据大于最大突发(be)的时候就算违章。
动作:
丢弃/传输/标记且传输。
案例解决方案:
interface hssi0/0/0
desription 45mbps to r2
//这是一句描述,无配置意义。
rate-limit out put accees-group 101 200000000 24000 32000 conform-action set prec-transmit 5 exceed-action set-prec-transmit 0
//这句真tm长,刚开始接触的时候看见这么长一串东西还是郁闷了很长时间的。呵呵。output指输出流量。101是访问列表标号,200000000是承诺接入速率,它的值是在8000-2000000000 bit每秒。24000是普通突发,它的值应在1000-512000000byte,32000是最大突发,其值范围为2000-1024000000bytes.conform-action后面规定的是遵从条件时候的动作,exceed-action 后面规定的是超出时的动作。关于动作的细节,后面讲。
rate-limit output access-group 102 10000000 24000 32000 conform-action set-prec-tranmit 5 exceed-action drop
rate-limit output 8000000 16000 24000 conform-action set-prec-transmit 5 exceed-action drop
ip address 10.1.0.9 255.255.255.0
!
access-li 101 per tcp any any eq www
access-li 102 per tcp any any eq ftp
*校验以及排错
Router# show interfaces hssi 0/0/0 rate-limit
所有动作:
continue
扫描察看其他的rate limits
drop
扔掉数据包
set dscp-continue #
设dscp,(也是一种类似ip precedence的优先级别)扫描察看其他的rate limits #代表0-63.
set dsc-transmit #
设dscp,发送包。#代表0-63。
set mpls-exp-continue #
设exp,继续 #代表0-7
set mpls-exp-transmit #
设exp,发送包。#代表0-7
set prec-continue #
重新写入优先级,继续。#代表0-7
set prec-transmit #
重新写入优先级,发送包。#代表0-7
set qos-continue
#
设qos组,继续。#代表0-99
set qos-transmit
#
设qos组,发送包。#代表0-99
transmit
发送包.

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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