COMPUTER ORGANIZATION AND ARCHITECTURE DESIGNING FOR PERFORMANCE NINTH EDITION

Referring back to Figure 8.11, we have discussed three types of queues: the long-
term queue of requests for new processes, the short-term queue of processes ready
to use the processor, and the various I/O queues of processes that are not ready to
use the processor. Recall that the reason for this elaborate machinery is that I/O
activities are much slower than computation and therefore the processor in a uni-
programming system is idle most of the time.
But the arrangement in Figure 8.11 does not entirely solve the problem. It is
true that, in this case, memory holds multiple processes and that the processor can
move to another process when one process is waiting. But the processor is so much
faster than I/O that it will be common for all the processes in memory to be waiting
on I/O. Thus, even with multiprogramming, a processor could be idle most of the
time.
What to do? Main memory could be expanded, and so be able to accommo-
date more processes. But there are two flaws in this approach. First, main memory
is expensive, even today. Second, the appetite of programs for memory has grown
as fast as the cost of memory has dropped. So larger memory results in larger proc-
esses, not more processes.
 
 
Another solution is swapping, depicted in Figure 8.12. We have a long-term
queue of process requests, typically stored on disk. These are brought in, one at a
time, as space becomes available. As processes are completed, they are moved out
of main memory. Now the situation will arise that none of the processes in memory
are in the ready state (e.g., all are waiting on an I/O operation). Rather than remain
idle, the processor swaps one of these processes back out to disk into an intermediate
queue.
This is a queue of existing processes that have been temporarily kicked out
of memory. The OS then brings in another process from the intermediate queue, or
it honors a new process request from the long-term queue. Execution then contin-
ues with the newly arrived process.
Swapping, however, is an I/O operation, and therefore there is the potential
for making the problem worse, not better. But because disk I/O is generally the
fastest I/O on a system (e.g., compared with tape or printer I/O), swapping will usu-
ally enhance performance. A more sophisticated scheme, involving virtual memory,
improves performance over simple swapping. This will be discussed shortly. But
first, we must prepare the ground by explaining partitioning and paging.
 
 

Swapping的更多相关文章

  1. [POJ 1674] Sorting by Swapping

    Sorting by Swapping Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 9514   Accepted: 50 ...

  2. Case swapping

    Case swapping Description: Given a string, swap the case for each of the letters. e.g. CodEwArs --&g ...

  3. Matrix Swapping II(求矩阵最大面积,dp)

    Matrix Swapping II Time Limit: 9000/3000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Other ...

  4. CDH集群频繁告警(host频繁swapping)

    最近CDH集群频繁告警,原因是某些host频繁swapping,极大影响了集群的性能. 后来发现有个设置(/proc/sys/vm/swappiness)需要修改,默认值60 Setting the ...

  5. UVa 299 - Train Swapping

    题目大意:给n个数的一个序列,通过交换相邻的两个数使得这n个数按照从小到大的顺序排列. Inversion index problem: count how many swaps are needed ...

  6. Hot swapping

    83. Hot swapping83.1 Reload static contentThere are several options for hot reloading. The recommend ...

  7. 【Devops】【docker】【CI/CD】Jenkins源代码管理 添加gitlab项目地址,报错Failed to connect to repository : Error performing command: ls-remote -h git@192.168.92.130:8090/root/swapping.git HEAD

    Jenkins源代码管理 添加gitlab项目地址 报错如下: Failed to connect to repository : Error performing command: ls-remot ...

  8. 【docker-compose】使用docker-compose启动spring-boot+mysql,服务内连数据库报错:create connection SQLException, url: jdbc:mysql://mysql:33061/swapping?useSSL=false&useUnicode=true&characterEncoding=UTF-8, errorCode 0,

    完整配置在这里, https://www.cnblogs.com/sxdcgaq8080/p/10070948.html 启动报错如下: 2018-12-05 01:04:05.569 ERROR 1 ...

  9. Swapping eth0 and eth1 on OK335xS board

    /******************************************************************************* * Swapping eth0 and ...

随机推荐

  1. linux tricks 之数据对齐。

    转载:http://blog.chinaunix.net/uid-20608849-id-3027953.html   内核为了保持最大的兼容性和代码灵活性,不可能直接对某个数据类型定义它的大小范围. ...

  2. Gym 100463D Evil DFS

    Evil Time Limit: 5 Sec Memory Limit: 256 MB 题目连接 http://codeforces.com/gym/100463/attachments Descri ...

  3. SQL Server SA 密码丢失无法连接数据库怎么办?

    如果Windows账户无法连接并且SA密码也丢失了,那么如何可以连接到数据库呢? 答案是: 在单用户模式下启动SQL Server然后用本地管理员权限连接.登陆之后就可以修改SA密码了. 步骤: 1. ...

  4. AsyncTask的基础讲解

    @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); s ...

  5. 向hive上传数据时,中文乱码

    sudo -u hive hive -e "use dataplat;load data local inpath '/home/dlht/data/test/2_times.csv' ov ...

  6. Spring的qualifier标签

    @Autowired是根据类型进行自动装配的.如果当Spring上下文中存在不止一个UserDao类型的bean时,就会抛出BeanCreationException异常;如果Spring上下文中不存 ...

  7. SU Demos-02Filtering-02Subfilt

    巴特沃斯滤波器的特点是通频带的频率响应曲线最平滑.这种滤波器最先由英国工程师斯替芬·巴特沃斯(Stephen Butterworth)在1930年发表在英国<无线电工程>期刊的一篇论文中提 ...

  8. DP URAL 1244 Gentlemen

    题目传送门 /* 题意:已知丢失若干卡片后剩余的总体积,并知道原来所有卡片的各自的体积,问丢失的卡片的id DP递推:首先从丢失的卡片的总体积考虑,dp[i] 代表体积为i的方案数,从dp[0] = ...

  9. HDU3491 Thieves(最小割)

    题目大概说,一个国家有n个城市,由m条双向路相连,小偷们从城市s出发准备到h城市,警察准备在某些除了s和h外的城市布置警力抓小偷,各个城市各有警力所需的数目.问警察最少要布置多少警力才能万无一失地抓住 ...

  10. JavaScript判断用户是通过电脑端还是移动端访问

    每个浏览器对应的useragent不同,JavaScript通过判断useragent的类型,便可以判断出用户所使用的浏览器类型,包括 IE.Firefox.chrome等.还可以判断用户是否通过移动 ...