在xen下新建一个windows虚拟机

Xen虚拟机安装Windows8 Xen虚拟机安装Windows8本文主要讲解在xen环境下如何安装Windows8系统虚拟机. 阅读详情
1.申请磁盘空间

dd if=/dev/zero of=./Win7.img bs=1M count=20480

dd if=/dev/zero of=./Windisk.img bs=1M count=10240

具体要几个硬盘根据需要新建。

2.上传ISO镜像,上传windows的安装镜像到服务器。

请确保上传的镜像是有效地,一开始我上传了一个镜像,一直不能成功安装虚拟机,后来重新制作了一个iso(物理光盘是一样的),就可以了。

3.建立虚拟机

virt-install -n win7 --file=Win7.img --file=Windisk.img --vnc -v -c /share/nfs02/309www/win7.iso
 -r 1024 --vcpus=1

virt-install 建立虚拟机的命令
-n 虚拟机的命名
--file 虚拟机的磁盘文件
--vnc 使用VNC终端连接方式
-r 虚拟机的内存容量
--vcpus 虚拟机的CPU数量
-v 可视
-c 安装镜像的路径

 

4.编写配置文件


1)拷贝一个系统的配置文件模板 #cp /etc/xen/xmexmple.hvm ./windows.hvm
2)修改windows.hvm文件以下相关项:
name = “ win7"      #自己取个名字
vif = [  'type=ioemu, bridge=br1' ]

disk = [ 'file:/share/nfs02/309www/Win7.img,ioemu:hda,w'

,'file:/share/nfs02/309www/Windisk.img,ioemu:hdb,w'#具体需要几个硬盘根据需要挂载。

, 'file:/share/nfs02/309www/win7.iso,hdc:cdrom,r']       #前面一个是虚拟硬盘的位置,后面一个是iso安装文件所在位置,根据实际位置修改

3)boot=cd                #设置默认系统启动位置 CD-ROM(d)  hard-disk(c)
4)vncconsole=1       #类似xm cr -c 中的-c功能,使系统启动之后自动通过vnc连接到虚拟机窗口
5)usbdevice='tablet'   #据说是可以去除跟随鼠标的那个悲剧的点的,不过有的时候有效,有的时候没 - -

5.启动 xm create windows.hvm


如果没有设置vncconsole=1这个项,我们也可以通过vncviewer 127.0.0.1:5900来连接我们启动的虚拟机窗口(5900是一个端口号,可能会变,可以通过xm list -l domid | grep location 获取端口号)

 也可以通过  xm vncviewer 


6.安装windows.也可以在建立镜像是完成。


7.修改启动项,从硬盘启动。


安装完后,每次启动都要到光盘项,很麻烦,修改配置文件windows.hvm,将disk项改为disk = [ 'file:/home/wq/image/pv/hvm/vmdisk.img,ioemu:hda,w' ],boot=c

  • 可以通过xm

    xm vncviewer win7 启动vnc到指定虚拟机。"win7"是虚拟机的名字。

     

    ps:这是我的配置文件

    #  -*- mode: python; -*-
    #============================================================================
    # Python configuration setup for 'xm create'.
    # This script sets the parameters used when a domain is created using 'xm create'.
    # You use a separate script for each domain you want to create, or 
    # you can set the parameters for the domain on the xm command line.
    #============================================================================
    
    import os, re
    arch = os.uname()[4]
    if re.search('64', arch):
        arch_libdir = 'lib64'
    else:
        arch_libdir = 'lib'
    
    #----------------------------------------------------------------------------
    # Kernel image file.
    kernel = "/usr/lib/xen/boot/hvmloader"
    
    # The domain build function. HVM domain uses 'hvm'.
    builder='hvm'
    
    # Initial memory allocation (in megabytes) for the new domain.
    #
    # WARNING: Creating a domain with insufficient memory may cause out of
    #          memory errors. The domain needs enough memory to boot kernel
    #          and modules. Allocating less than 32MBs is not recommended.
    memory = 1024
    
    # Shadow pagetable memory for the domain, in MB.
    # If not explicictly set, xend will pick an appropriate value.  
    # Should be at least 2KB per MB of domain memory, plus a few MB per vcpu.
    # shadow_memory = 8
    
    # A name for your domain. All domains must have different names.
    name = "win7"
    
    # 128-bit UUID for the domain.  The default behavior is to generate a new UUID
    # on each call to 'xm create'.
    #uuid = "06ed00fe-1162-4fc4-b5d8-11993ee4a8b9"
    
    #-----------------------------------------------------------------------------
    # The number of cpus guest platform has, default=1
    #vcpus=1
    
    # Enable/disable HVM guest PAE, default=1 (enabled)
    #pae=1
    
    # Enable/disable HVM guest ACPI, default=1 (enabled)
    #acpi=1
    
    # Enable/disable HVM APIC mode, default=1 (enabled)
    # Note that this option is ignored if vcpus > 1
    #apic=1
    
    # List of which CPUS this domain is allowed to use, default Xen picks
    #cpus = ""         # leave to Xen to pick
    #cpus = "0"        # all vcpus run on CPU0
    #cpus = "0-3,5,^1" # all vcpus run on cpus 0,2,3,5
    #cpus = ["2", "3"] # VCPU0 runs on CPU2, VCPU1 runs on CPU3
    
    # Optionally define mac and/or bridge for the network interfaces.
    # Random MACs are assigned if not given.
    #vif = [ 'type=ioemu, mac=00:16:3e:00:00:11, bridge=xenbr0, model=ne2k_pci' ]
    # type=ioemu specify the NIC is an ioemu device not netfront
    vif = [ 'type=ioemu,mac=00:16:3e:3f:45:8f, bridge=br0' ]
    
    #----------------------------------------------------------------------------
    # Define the disk devices you want the domain to have access to, and
    # what you want them accessible as.
    # Each disk entry is of the form phy:UNAME,DEV,MODE
    # where UNAME is the device, DEV is the device name the domain will see,
    # and MODE is r for read-only, w for read-write.
    
    #disk = [ 'phy:hda1,hda1,r' ]
    disk = [ 'file:/share/nfs02/309www/Win7.img,hda,w',
         'file:/share/nfs02/309www/Windisk.img,hdb,w',
         'file:/share/nfs02/309www/win7.iso,hdc:cdrom,r' ]
    
    #----------------------------------------------------------------------------
    # Configure the behaviour when a domain exits.  There are three 'reasons'
    # for a domain to stop: poweroff, reboot, and crash.  For each of these you
    # may specify:
    #
    #   "destroy",        meaning that the domain is cleaned up as normal;
    #   "restart",        meaning that a new domain is started in place of the old
    #                     one;
    #   "preserve",       meaning that no clean-up is done until the domain is
    #                     manually destroyed (using xm destroy, for example); or
    #   "rename-restart", meaning that the old domain is not cleaned up, but is
    #                     renamed and a new domain started in its place.
    #
    # In the event a domain stops due to a crash, you have the additional options:
    #
    #   "coredump-destroy", meaning dump the crashed domain's core and then destroy;
    #   "coredump-restart', meaning dump the crashed domain's core and the restart.
    #
    # The default is
    #
    #   on_poweroff = 'destroy'
    #   on_reboot   = 'restart'
    #   on_crash    = 'restart'
    #
    # For backwards compatibility we also support the deprecated option restart
    #
    # restart = 'onreboot' means on_poweroff = 'destroy'
    #                            on_reboot   = 'restart'
    #                            on_crash    = 'destroy'
    #
    # restart = 'always'   means on_poweroff = 'restart'
    #                            on_reboot   = 'restart'
    #                            on_crash    = 'restart'
    #
    # restart = 'never'    means on_poweroff = 'destroy'
    #                            on_reboot   = 'destroy'
    #                            on_crash    = 'destroy'
    
    #on_poweroff = 'destroy'
    #on_reboot   = 'restart'
    #on_crash    = 'restart'
    
    #============================================================================
    
    # Device Model to be used
    device_model = '/usr/' + arch_libdir + '/xen/bin/qemu-dm'
    
    #-----------------------------------------------------------------------------
    # boot on floppy (a), hard disk (c), Network (n) or CD-ROM (d) 
    # default: hard disk, cd-rom, floppy
    #boot="cda"
    boot="dc"
    
    #-----------------------------------------------------------------------------
    #  write to temporary files instead of disk image files
    #snapshot=1
    
    #----------------------------------------------------------------------------
    # enable SDL library for graphics, default = 0
    sdl=0
    
    #----------------------------------------------------------------------------
    # enable OpenGL for texture rendering inside the SDL window, default = 1
    # valid only if sdl is enabled.
    opengl=1
    
    #----------------------------------------------------------------------------
    # enable VNC library for graphics, default = 1
    vnc=1
    
    #----------------------------------------------------------------------------
    # address that should be listened on for the VNC server if vnc is set.
    # default is to use 'vnc-listen' setting from /etc/xen/xend-config.sxp
    #vnclisten="127.0.0.1"
    
    #----------------------------------------------------------------------------
    # set VNC display number, default = domid
    #vncdisplay=1
    
    #----------------------------------------------------------------------------
    # try to find an unused port for the VNC server, default = 1
    #vncunused=1
    
    #----------------------------------------------------------------------------
    # set password for domain's VNC console
    # default is depents on vncpasswd in xend-config.sxp
    vncpasswd=''
    
    #----------------------------------------------------------------------------
    # no graphics, use serial port
    #nographic=0
    
    #----------------------------------------------------------------------------
    # enable stdvga, default = 0 (use cirrus logic device model)
    stdvga=0
    
    #-----------------------------------------------------------------------------
    #   serial port re-direct to pty deivce, /dev/pts/n 
    #   then xm console or minicom can connect
    serial='pty'
    
    
    #-----------------------------------------------------------------------------
    #   Qemu Monitor, default is disable
    #   Use ctrl-alt-2 to connect
    #monitor=1
    
    
    #-----------------------------------------------------------------------------
    #   enable sound card support, [sb16|es1370|all|..,..], default none
    #soundhw='sb16'
    
    
    #-----------------------------------------------------------------------------
    #    set the real time clock to local time [default=0 i.e. set to utc]
    #localtime=1
    
    
    #-----------------------------------------------------------------------------
    #    set the real time clock offset in seconds [default=0 i.e. same as dom0]
    #rtc_timeoffset=3600
    
    #-----------------------------------------------------------------------------
    #    start in full screen
    #full-screen=1   
    
    
    #-----------------------------------------------------------------------------
    #   Enable USB support (specific devices specified at runtime through the
    #			monitor window)
    #usb=1
    
    #   Enable USB mouse support (only enable one of the following, `mouse' for
    #			      PS/2 protocol relative mouse, `tablet' for
    #			      absolute mouse)
    #usbdevice='mouse'
    #usbdevice='tablet'
    
    #-----------------------------------------------------------------------------
    #   Set keyboard layout, default is en-us keyboard. 
    #keymap='ja'
    
    #-----------------------------------------------------------------------------
    #   Configure guest CPUID responses:
    #
    #cpuid=[ '1:ecx=xxxxxxxxxxx00xxxxxxxxxxxxxxxxxxx,
    #           eax=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' ]
    # - Unset the SSE4 features (CPUID.1[ECX][20-19])
    # - Default behaviour for all other bits in ECX And EAX registers.
    # 
    # Each successive character represent a lesser-significant bit:
    #  '1' -> force the corresponding bit to 1
    #  '0' -> force to 0
    #  'x' -> Get a safe value (pass through and mask with the default policy)
    #  'k' -> pass through the host bit value
    #  's' -> as 'k' but preserve across save/restore and migration
    # 
    #   Expose to the guest multi-core cpu instead of multiple processors
    # Example for intel, expose a 8-core processor :
    #cpuid=['1:edx=xxx1xxxxxxxxxxxxxxxxxxxxxxxxxxxx,
    #          ebx=xxxxxxxx00010000xxxxxxxxxxxxxxxx',
    #     '4,0:eax=001111xxxxxxxxxxxxxxxxxxxxxxxxxx']
    #  - CPUID.1[EDX][HT] : Enable HT
    #  - CPUID.1[EBX] : Number of vcpus * 2
    #  - CPUID.4,0[EAX] : Number of vcpus * 2 - 1
    #vcpus=8
    #
    # Example for amd, expose a 5-core processor :
    # cpuid = ['1:ebx=xxxxxxxx00001010xxxxxxxxxxxxxxxx,
    #             edx=xxx1xxxxxxxxxxxxxxxxxxxxxxxxxxxx',
    # '0x80000001:ecx=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx1x',
    # '0x80000008:ecx=xxxxxxxxxxxxxxxxxxxxxxxxxx001001']
    #   - CPUID.1[EBX] : Threads per Core * Cores per Socket (2 * #vcpus)
    #   - CPUID.1[EDX][HT] : Enable HT
    #   - CPUID.0x80000001[CmpLegacy] : Use legacy method
    #   - CPUID.0x80000008[ECX] : #vcpus * 2 - 1
    #vcpus=5
    #
    #  Downgrade the cpuid to make a better compatibility for migration :
    # Look like a generic 686 :
    # cpuid = [ '0:eax=0x3,ebx=0x0,ecx=0x0,edx=0x0',
    #           '1:eax=0x06b1,
    #              ecx=xxxxxxxxxx0000xx00xxx0000000xx0,
    #              edx=xx00000xxxxxxx0xxxxxxxxx0xxxxxx',
    #           '4:eax=0x3,ebx=0x0,ecx=0x0,edx=0x0',
    #  '0x80000000:eax=0x3,ebx=0x0,ecx=0x0,edx=0x0']
    #  with the highest leaf
    #  - CPUID.0[EAX] : Set the highest leaf
    #  - CPUID.1[EAX] : 686 
    #  - CPUID.1[ECX] : Mask some features
    #  - CPUID.1[EDX] : Mask some features
    #  - CPUID.4 : Reply like the highest leaf, in our case CPUID.3
    #  - CPUID.0x80000000 : No extension we are on a Pentium III, reply like the
    #  highest leaf (CPUID.3).
    #
    #   Configure host CPUID consistency checks, which must be satisfied for this
    #   VM to be allowed to run on this host's processor type:
    #cpuid_check=[ '1:ecx=xxxxxxxxxxxxxxxxxxxxxxxxxx1xxxxx' ]
    # - Host must have VMX feature flag set
    #
    # The format is similar to the above for 'cpuid':
    #  '1' -> the bit must be '1'
    #  '0' -> the bit must be '0'
    #  'x' -> we don't care (do not check)
    #  's' -> the bit must be the same as on the host that started this VM
    
    
    #-----------------------------------------------------------------------------
    #   Configure PVSCSI devices:
    #
    #vscsi=[ 'PDEV, VDEV' ]
    #
    #   PDEV   gives physical SCSI device to be attached to specified guest
    #          domain by one of the following identifier format.
    #          - XX:XX:XX:XX (4-tuples with decimal notation which shows
    #                          "host:channel:target:lun")
    #          - /dev/sdxx or sdx
    #          - /dev/stxx or stx
    #          - /dev/sgxx or sgx
    #          - result of 'scsi_id -gu -s'.
    #            ex. # scsi_id -gu -s /block/sdb
    #                  36000b5d0006a0000006a0257004c0000
    #
    #   VDEV   gives virtual SCSI device by 4-tuples (XX:XX:XX:XX) as 
    #          which the specified guest domain recognize.
    #
    
    #vscsi = [ '/dev/sdx, 0:0:0:0' ]
    


    参考文献:

    http://tomhibolu.iteye.com/blog/1215838

    http://apps.hi.baidu.com/share/detail/23999906

 

Linux下使用Xen搭建虚拟机 一、安装前检查 1)查看你的主机cpu是否支持虚拟化:输入命令 cat /proc/cpuinfo | grep flags ,查看结果中有没有 pae ,若有则支持半虚拟化,再看有没有 vmx(intel) 或 svm((amd) ,若有,则支持全虚拟化。 2 )查看虚拟化是否打开: grep -E 'svm|vmx' /proc/cpuinfo 如果有返回。就说明你的cpu打开虚拟 阅读详情

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cxjczy1990的博客 1211

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NN179的专栏 1181

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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. Download.2. addpath(genpath('DeepLearnToolbox'));Example: Deep Belief Network---------------------```matlabfunction test_example_DBNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit RBM and visualize its weightsrand('state',0)dbn.sizes = [100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);figure; visualize(dbn.rbm{1}.W'); % Visualize the RBM weights%% ex2 train a 100-100 hidden unit DBN and use its weights to initialize a NNrand('state',0)%train dbndbn.sizes = [100 100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);%unfold dbn to nnnn = dbnunfoldtonn(dbn, 10);nn.activation_function = 'sigm';%train nnopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.10, 'Too big error');```Example: Stacked Auto-Encoders---------------------```matlabfunction test_example_SAEload mnist_uint8;train_x = double(train_x)/255;test_x = double(test_x)/255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN% Setup and train a stacked denoising autoencoder (SDAE)rand('state',0)sae = saesetup([784 100]);sae.ae{1}.activation_function = 'sigm';sae.ae{1}.learningRate = 1;sae.ae{1}.inputZeroMaskedFraction = 0.5;opts.numepochs = 1;opts.batchsize = 100;sae = saetrain(sae, train_x, opts);visualize(sae.ae{1}.W{1}(:,2:end)')% Use the SDAE to initialize a FFNNnn = nnsetup([784 100 10]);nn.activation_function = 'sigm';nn.learningRate = 1;nn.W{1} = sae.ae{1}.W{1};% Train the FFNNopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.16, 'Too big error');```Example: Convolutional Neural Nets---------------------```matlabfunction test_example_CNNload mnist_uint8;train_x = double(reshape(train_x',28,28,60000))/255;test_x = double(reshape(test_x',28,28,10000))/255;train_y = double(train_y');test_y = double(test_y');%% ex1 Train a 6c-2s-12c-2s Convolutional neural network %will run 1 epoch in about 200 second and get around 11% error. %With 100 epochs you'll get around 1.2% errorrand('state',0)cnn.layers = { struct('type', 'i') %input layer struct('type', 'c', 'outputmaps', 6, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %sub sampling layer struct('type', 'c', 'outputmaps', 12, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %subsampling layer};cnn = cnnsetup(cnn, train_x, train_y);opts.alpha = 1;opts.batchsize = 50;opts.numepochs = 1;cnn = cnntrain(cnn, train_x, train_y, opts);[er, bad] = cnntest(cnn, test_x, test_y);%plot mean squared errorfigure; plot(cnn.rL);assert(er<0.12, 'Too big error');```Example: Neural Networks---------------------```matlabfunction test_example_NNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);% normalize[train_x, mu, sigma] = zscore(train_x);test_x = normalize(test_x, mu, sigma);%% ex1 vanilla neural netrand('state',0)nn = nnsetup([784 100 10]);opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samples[nn, L] = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.08, 'Too big error');%% ex2 neural net with L2 weight decayrand('state',0)nn = nnsetup([784 100 10]);nn.weightPenaltyL2 = 1e-4; % L2 weight decayopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex3 neural net with dropoutrand('state',0)nn = nnsetup([784 100 10]);nn.dropoutFraction = 0.5; % Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); nn.output = 'softmax'; % use softmax outputopts.numepochs = 5; % Number of full sweeps through dataopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, tx, ty, opts, vx, vy); % nntrain takes validation set as last two arguments (optionally)[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');```[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/rasmusbergpalm/deeplearntoolbox/trend.png)](https://bitdeli.com/free "Bitdeli Badge")

在Xen下安装Windows虚拟机全过程

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Jackxin Xu IT技术专栏 1万+

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weixin_28689809的博客 635

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狂飙的蜗牛 892

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Superxgl的专栏 1743
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