A Simple CPU and Memory Performance Test of Xen Dom0 and DomU

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Please refer to Setting Up Xen Dom0 on Fedora : Xen 3.4.1 with Linux Kernel 2.6.29 on Fedora 12 for the platform of this test (this test runs on Fedora 11, however). I have done some simple performance test on DomU and Dom0 and compare with the performance on physical machines. These test are simple,
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Installing NVIDIA Driver in Fedora

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Using rpmfusion’s rpm packages to install NVIDIA driver in Fedora is introduced in this post. First, check the proper drivers for the card on [1]. 1. Add rpmfusion. Enable RPM Fusion repositories 2. Install the driver # yum install kmod-nvidia xorg-x11-drv-nvidia The reboot system. 3. Edit /etc/X11/xorg.conf # nvidia-xconfig The nouveau module conflicts with the
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ALSA Problem of Fedora 11 on Compaq Presario CQ35-240TX

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When I get my new Compaq Presario CQ35-240TX, of course, the first thing is to install Fedora ;) But unfortunately, after installation there is no sound! It seems there is something wrong with the driver configuration. Here is a solution to this: Add these two line at the end of /etc/modprobe.d/dist.conf options snd-hda-intel model=hp-m4 enable=1
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Create and Manage Virtual Machines on Xen

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In this post, these content are introduced: Create and manage file-backed virtual block device (VBD) for virtual machines on xen. Install Fedora 11 via internet as DomU on top of xen. Manage virtual machines using xm. Create file-backed VBD: The actual space of VBD will be the amount of disk the virtual machine used. And
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Compiling 2.6.29 Kernel Module for VMware Workstation 6.5.2 or VMware Player 2.5.2

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为VMware Workstation 6.5.2 or VMware Player 2.5.2编译2.6.29内核模块 安装好Fedora 11后安装VMware Player 2.5.2时编译内核模块失败。查找了下相关资料,找到如下内容和解决方法。 可能的原因: “The only significant change in fedora 11 comes from gcc, which is more strict about undefined macros, and that sometimes causes vm_check_build to fail.” http://communities.vmware.com/thread/202653 解决方法: 使用一个patch: http://communities.vmware.com/thread/203231

mrcc – A Distributed C Compiler System on MapReduce

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The mrcc project’s homepage is here: mrcc project. Abstract mrcc is an open source compilation system that uses MapReduce to distribute C code compilation across the servers of the cloud computing platform. mrcc is built to use Hadoop by default, but it is easy to port it to other could computing platforms, such as MRlite,
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