Setting Up Xen Dom0 on Fedora : Xen 3.4.1 with Linux Kernel 2.6.29 on Fedora 12

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Please refer to for the latest stable Xen Dom0 solution. In this post, the detailed tutorial for setting up Xen 3.4.1 dom0 on top of Fedora 12 with kernel 2.6.29 will be introduced. Hardware: Dom0 hardware platform: Motherboard: INTEL S5500BC S5500 Quad Core Xeon Server Board CPU: 2 x Intel Quad Core Xeon E5520 2.26G
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How to Set Up Socks Proxy Using SSH Tunnel

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We can set up a socks proxy on top of a SSH tunnel. Besides the common proxy functions, such as web browsing, the proxy on top of SSH tunnel also ensures the security between the browser and the proxy server (the SSH server). In this post, we introduce and explain how to set up a
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Mostly Used MPlayer Keyboard Control Shortcuts

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MPlayer has a fully configurable, command-driven control layer which allows you to control MPlayer using keyboard. But which are these shortcuts are not immediately know to users of MPlayer. Below is a list of mostly used MPlayer keyboard control shortcuts. They come from the [[man:1|mplayer|mplayer manual]] where you can find a full list of all
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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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Howto: Git Server over SSH

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Git and SSH are both powerful tools, and git/ssh work well together. We introduce how to set up git server via ssh in this post. Git server through SSH is easy and fast to set up, although every user will have access to all repositories in the git server over SSH and every user is
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Several Vim Tips (in Chinese)

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窗口模式操作 CTRL-W CTRL-S 将当前窗口分割为两窗口 CTRL-W CTRL-W 切换窗口 CTRL-W j 切换到下一窗口 CTRL-W k 切换到上一窗口 CTRL-W CTRL-R 将窗口的位置轮换 CTRL-W CTRL-_ 将当前窗口最小化 CTRL-W CTRL-= 将所有窗口变为等大 搜索和替换 /word 搜索word 搜索之后按回车高亮显示,n 下一个 p 上一个 :%s/模式/替换成的内容/gc % 全局选项,如果没有开启则只在当前行进行替换 g 表示 全局替换,如果没有g选项则只替换每行出现的第一个单词 c 表示需要确认 Esc替换按键 ESC键在键盘的左上角,按起来很不方便,而在VIM中ESC经常用到,其实有一个同样作用的组合按键:CTRL-[,这两个按起来手基本不用做大的动作,方便多了。 块操作 使用visual可视模式 v 进入可视模式,移动光标可进行选择 CTRL-Q 或 CTRL-V 进入列式模式,可进行块操作,选定的是一个矩形块。如果使用behave mswin CTRL-V可能映射成为past

How to Run a cron Job Every Two Weeks / Months / Days

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We may want to run some jobs for every two weeks/months/days… under some situation such as backing up for every other week. In addition, we may add more complex rules for running jobs, e.g. run a command when the load of the server is higher than a certain level. With the help of the shell
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How to Compress/Uncompress Files in Linux Using gzip, bzip2, 7z, rar and zip

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Compress/uncompress files are frequent operations. The normal tools for compressing/uncompressing in Linux is gzip, bzip2, 7z, rar and zip. This post introduces how to compress and uncompress file in Linux using these tools. We use best compressing rate with all these tools and mark the options for “best rate” in bold fonts. We can delete
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PUMA: A MapReduce Benchmark Suite

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MapReduce is a well-known programming model designed for generating and processing large data. There are various MapReduce implementations. One widely known and used one may be Hadoop. Benchmarking MapReduce frameworks gets to be important. Faraz Ahmad et al. developed a benchmark suite: PUMA MapReduce Benchmark. During our work on MapReduce, we developed a benchmark suite
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Conference Ranking by Average Number of Citations in the Last 5 Years, 2012

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I am trying to find out the top conferences that have the largest average number of citations in the last 5 years on the Internet but fail to find one. However, there are many rankings about the overall citations and numbers of publications. Hence, it is not hard to calculate the average number of citations
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Hadoop Installation Tutorial (Hadoop 1.x)

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Update: If you are new to Hadoop and trying to install one. Please check the newer version: Hadoop Installation Tutorial (Hadoop 2.x). Hadoop mainly consists of two parts: Hadoop MapReduce and HDFS. Hadoop MapReduce is a programming model and software framework for writing applications, which is an open-source variant of MapReduce that is initially designed
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Reading List for Distributed Systems and Cloud Computing

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Understanding the literature is usually the first step to do research, which is the same for systems research on cloud computing. A reading list may help a lot to those that just start in cloud computing research. Prof. Lin Gu, my PhD supervisor, compiled a reading list for system research on cloud computing. The reading
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Conferences on Cloud Computing 2013

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This post lists important conferences related to Cloud Computing in year 2013. SOSP 2013 SOSP’13: The 24th ACM Symposium on Operating Systems Principles. November 3-6, 2013, Nemacolin Woodlands Resort, Pennsylvania. The biennial ACM Symposium on Operating Systems Principles is the world’s premier forum for researchers, developers, programmers, and teachers of computer systems technology. Academic and
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A Simple Sort Benchmark on Hadoop

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After [[hadoop-installation-tutorial|installing Hadoop]], we usually run some benchmark programs to test whether the system works well. In the post of the Hadoop install tutorial, we show a very simple to grep strings from a simple sets of files. In this post, we introduce the Sort for testing and benchmarking Hadoop. The Sort program is also
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Conferences on Cloud Computing 2012

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This post lists important conferences on Cloud Computing in year 2012. OSDI 2012 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’12) October 8–10, 2012, Hollywood, CA “The tenth OSDI seeks to present innovative, exciting research in computer systems. OSDI brings together professionals from academic and industrial backgrounds in what has become a
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Setting Up Standalone (Local) Hadoop

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Hadoop is designed to run on [[hadoop-installation-tutorial|hundreds to thousands of computers]] inside cluster. However, Hadoop is configured to run things in a non-distributed mode as a single Java process by default. This is specially useful for debugging since distributed debugging is really a nightmare. This post introduces how to set up a standalone Hadoop environment.
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