Thinking Small With Tiny Core Linux

本文介绍如何使用仅12MB大小的TinyCore Linux构建极小的虚拟设备。作者分享了安装过程中的注意事项,如选择IDE而非SCSI作为硬盘接口,并介绍了TinyCore独特的文件系统和启动配置方式,最终成功搭建了一个轻量级的服务器。

Screen Shot 2012-10-03 at 7.07.15 PMhttp://ostatic.com/blog/thinking-small-with-tiny-core-linux


I recently had the need to build a virtual appliance, a small Linux server that did one thing, and required no interaction. And by small, I mean really small, tiny. After considering the options and searching around a bit, I found the Tiny Core Linux, and when they say tiny, they mean it. The Tiny Core download is only 12MB.

Tiny Core Linux is meant to be a minimalist desktop operating system. The main download includes a window manager, a text editor, and thats about it. The desktop includes a Mac-like dock at the bottom of the screen, and in the dock is an application to download and install more applications. However, for my purposes, I did not need the GUI, all I needed was a server. So I downloaded and installed the tc-install tool, launched it and installed the OS into a very small virtual machine.

Actually, I installed it several times, and the first couple of times I tried to install I could not. That is because VMware automatically chooses SCSI as the hard drive interface, but Tiny Core only supports IDE. During the install I chose the “Core Only” text interface, and chose the “Installer Application” to be able to install OpenSSH and any other applications I would need.

If you are familiar with command line Linux administration, you might feel a bit lost when you start looking around at Tiny Core. The developers made some interesting concessions in name of size and, presumably, security. By default, no data is retained between reboots. So, spend a little time getting your shell environment the way you like it, spend a little more getting the server you need set up, give it a quick reboot and all the changes you just made are gone. I started looking around at the filesystem after my first reboot, and that is when I realized that things had somewhere gotten weird. Time to read the documentation.

Screen Shot 2012-10-03 at 7.31.44 PM

Tiny Core is actually only two files, one for the kernel and one for userland applications. Both files are loaded into RAM during boot, so very little actually exists on the drive. The normal mount points are all ramdisks, so everything is lost and reloaded on reboot. Applications, which Tiny Core calls extensions, are stored on the drive and mounted as read-only loopback devices in /tmp/tcloop. The binaries are then symlinked to /usr/local/bin or wherever the rest of the system expects to normally find them. It is an interesting concept, every time the system boots the applications are read fresh from the loopback again.

So, the applications had to live somewhere, so where were they? Tiny Core mounts the hard drive as /dev/sda1, and in the hard drive there are two directories: /boot (ah, there it is!), and /tce. Files stored on the hard drive persist between reboots, and inside the /mnt/sda1/boot/extlinux directory is a file named extlinux.cfg, where you can define your boot parameters. Three boot parameters I was interested in were “cron” to start the cron daemon, “opt=sda1”, and “home=sda1”. These parameters tell Tiny Core to use the hard drive to store the contents of /opt and /home to persist between reboots. However, there is no way to tell Tiny Core to save the /etc or /usr/local/etc/ directories, so to save any settings between reboots you must copy any files you need into your home or opt directories. I did add one more option to the boot parameters, “noautologin”, which booted Tiny Core to a login prompt instead of straight to a shell.

The final piece of the puzzle is the /opt/bootlocal.sh file. This file is executed during the boot process, and providing that you are persisting /opt between reboots, gives you a way to copy the files that you need from your home directory back into place. For example, /etc/shadow to keep passwords, /usr/local/etc/ssh for the OpenSSH daemon, and any cron files.

It was a fair bit of work to get my virtual appliance working the way I wanted, but it was also an interesting look at an alternative concept for building a Linux system. I now have a downloadable virtual appliance that weighs in at right around 27MB, zipped. I am also considering using this system for other servers, at least for testing. It might be interesting to see what kind of load the appliance can take, especially running something like NGINX. If you have experience building this type of system, I would be interested to hear about your experience in the comments.


基于TROPOMI高光谱遥感仪器获取的大气成分观测资料,本研究聚焦于大气污染物一氧化氮(NO₂)的空间分布与浓度定量反演问题。NO₂作为影响空气质量的关键指标,其精确监测对环境保护与大气科学研究具有显著价值。当前,利用卫星遥感数据结合先进算法实现NO₂浓度的高精度反演已成为该领域的重要研究方向。 本研究构建了一套以深度学习为核心的技术框架,整合了来自TROPOMI仪器的光谱辐射信息、观测几何参数以及辅助气象数据,形成多维度特征数据集。该数据集充分融合了不同来源的观测信息,为深入解析大气中NO₂的时空变化规律提供了数据基础,有助于提升反演模型的准确性与环境预测的可靠性。 在模型架构方面,项目设计了一种多分支神经网络,用于分别处理光谱特征与气象特征等多模态数据。各分支通过独立学习提取代表性特征,并在深层网络中进行特征融合,从而综合利用不同数据的互补信息,显著提高了NO₂浓度反演的整体精度。这种多源信息融合策略有效增强了模型对复杂大气环境的表征能力。 研究过程涵盖了系统的数据处理流程。前期预处理包括辐射定标、噪声抑制及数据标准化等步骤,以保障输入特征的质量与一致性;后期处理则涉及模型输出的物理量转换与结果验证,确保反演结果符合实际大气浓度范围,提升数据的实用价值。 此外,本研究进一步对不同功能区域(如城市建成区、工业带、郊区及自然背景区)的NO₂浓度分布进行了对比分析,揭示了人类活动与污染物空间格局的关联性。相关结论可为区域环境规划、污染管控政策的制定提供科学依据,助力大气环境治理与公共健康保护。 综上所述,本研究通过融合TROPOMI高光谱数据与多模态特征深度学习技术,发展了一套高效、准确的大气NO₂浓度遥感反演方法,不仅提升了卫星大气监测的技术水平,也为环境管理与决策支持提供了重要的技术工具。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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