ram

I found this older article how-to-monitor-the-computers-cpu-memory-and-disk-usage-in-java and wated to ask, if there is something new in java 7. I want to get the current CPU-, RAM- and netzwork-Usage of my App periodically. It has to work for linux (mac) and windows. The data must not be extremely detailed, 3 values would be enough (cpu: 10%, Ram 4%, Network 40%). Would be cool if the data is just for the app and not the whole os-system, however this would work, too. Thank's for help answering my own question ;P some code i have written... NetworkData: public class NetworkData { static Map

The only program relevant I know of is pmap , but this only prints the memory of one process. I would like to see how the physical memory is occupied and by which processes/library, including the kernel, of the entire physical RAM (as opposed to that from the process' POV with pmap ). Ideally also with a graphical interface. Do you know if there's any such tool? I know about the ambiguity introduced by libraries. If it's the case, it could display a 1-pixel wide line and an arrow to the real location of that library. What do I need this for? To view the RAM fragmentation. Memory Fragmentation

The following is an excerpt from DTS file. linux/arch/powerpc/boot/dts/[board_name].dts memory { device_type = "memory"; reg = <0x00000000 0x40000000>; // 1GB at 0 }; The embedded device has 1 GB of memory. 0x40000000=1073741824 in decimal. The only way i get 1 GB is when i calculate 1073741824 as bytes. Which means 1073741824 bytes = 1GB. So does this mean 0x00000000 points to a byte of data in RAM? In other words, every byte in RAM has an address. Why is that so? What do we read a block of 8 bits? Why not a word? TL;DR : RAM accesses are NOT in byte sized chunks even though each byte is

1.计算机主要硬件： 1.1.中央处理器（CPU）： CPU是 计算机的运算和控制核心。 1.2.随机存储器（Random Access Memory，即RAM）： 作为主存，也称为内存，全称主存储器或内存储器。 CPU可以直接访问RAM RAM中的数据会断电丢失 一台电脑中，主存由两个部分组成：内存条和cache（高速缓冲存储器）。 cache用的是SRAM技术，而内存条使用的是DRAM技术。 cache集成在CPU里面， 而内存条插在主板上，可以轻易地拔下来。 cache的速度较快， 而内存条的速度较慢。 下图就是内存条，用力一摁咔嚓一声就可以插进主板里面： 1.3.只读存储器（Read-Only Memory）： 作为外存，全称外存储器 ROM中的数据断电不丢失 软盘、硬盘、U盘、磁带、光盘都是ROM 一个程序的运行，通常最终都要送到 CPU 中执行。CPU的运算速度非常快，CPU中用于存储数据的寄存器速度也非常快，而程序原本存储在磁盘中，磁盘的速度相对于寄存器而言速度非常慢。如果CPU直接从硬盘读取数据，就会导致CPU已经处理完了，磁盘IO还没有反应过来的情况。 程序： 程序是一个存放在硬盘中的可执行文件。这个可执行文件 经过四个步骤得来： 1.预处理、2.编译、3.汇编、4.链接 进程： 一个 程序 运行一遍，这个运行的程序就叫做进程。 系统

I would like to now how those instructions are allocating memory. For example what if I got code: x = new int[5]; y = new int[5]; If those are allocated how it actually looks like in RAM? Is whole block reserved for each of the variables or block(memory page or how-you-call-it - 4KB of size on 32bit) is shared for 2 variables? I couldn't find answer for my question in any manual. Thanks for all replies. I found on wikipedia: Internal fragmentation of pages Rarely do processes require the use of an exact number of pages. As a result, the last page will likely only be partially full, wasting

Two months i experience crashing STS (3.7.3.RELEASE) on ubutnu 14.04. Before posting this, i made following steps: Reinstalled STS Reinstalled java-oracle (web8upd ppa) Changing workspace also made no difference The issue randomly appears after clicking on Server Tab (doesnt matter on server or not) and then it closes without any warning. The log file is huge, i leave link: http://pastebin.com/zFLQWf7u Hope someone can help me. Thanks This looks like a bug to me that we might be able to fix. There an action in tc server integration plugin that requires java.awt.Desktop to navigate to URL.

在阿里云服务器维护过程中，创建RAM用户是必须要有的，尤其是公司有多名运维人员的时候。在阿里云服务器控制台里面的RAM控制台中可以设置RAM用户的登录密码以RAM用户安全策略。 一、RAM的初始设置 （一）设置账号别名 为云账号设置一个RAM账号别名，能让RAM用户更容易记住登录入口。由于安全原因，RAM用户的登录入口不同于主账号的登录入口。RAM用户登录时，需要提供主账号的RAM账号别名、RAM用户名和RAM用户登录密码。 1、登录 RAM控制台 。 2、单击人员管理 —> 设置 —> 高级设置。 3、在域名管理页签下，单击更新。 4、进入编辑页面，输入账号别名，点击确定。 （二）设置 RAM 用户的登录密码强度 在RAM中，可以统一指定所有RAM用户的密码登录强度，那么在用户重置密码时将要求不得低于设置的密码强度。 1、登录 RAM控制台 。 2、单击人员管理 —> 设置。 3、在安全设置页面的密码强度设置区域，单击编辑密码规则。 4、自定义密码规则并单击确定。 （三）设置 RAM 用户安全策略 在RAM中，可以指定RAM用户必须设置多因素认证(MFA)。一旦设置 MFA，还可以统一指定是否允许登录时在其登录设备上保存MFA登录状态(保存 7 天)。此外，您可以进一步指定是否允许子用户自主管理密码、AccessKey及多因素认证设备。 1、登录 RAM控制台 。 2

I am tracking the memory using task manager and my app is a webrtc app using socket.io. So when I track the memory and open localhost, connect two browser windows, it obviously adds a little bit of memory. I think it starts at like 19.3 MB and then adds 0.5MB for each connection. HOWEVER! When I close out of the connection, so no more localhost windows are open, it never decreases in memory usage! So if it goes up to 20MB or something, then it will stay there and never ever decrease. Why is this? Is there some kind of memory leak? By the way, is this the right way to track memory usage? Or