FUSE - implementing filesystems in user space

FUSE(文件系统在用户空间)是一个允许非特权用户实现自己的文件系统的平台。通过一个内核模块与用户空间库的结合,FUSE能够接收文件系统请求并将其发送到用户空间应用程序进行处理。用户可以利用这个接口来创建各种各样的文件系统,例如基于网站的只读镜像文件系统或者对象数据库文件系统。
Last week we looked at implementing device drivers in user space. Drivers are not the only kernel functionality which can be moved across the divide, however; it is also possible to implement filesystems with user-space code. Linux has a long tradition of user-space filesystems, actually; NFS was implemented that way for quite some time. Even so, user-space filesystems are not widely used, for a number of obvious reasons (performance, security, ...). But there are situations where a user-space filesystem can be a nice thing to have.

For those situations, there is a project called FUSE. Its associated SourceForge page is not particularly enlightening; one really has to look at the project's code to understand what FUSE has to offer. Since the second FUSE 1.1 release candidate has just been announced, this seems like a good time for such an examination.

FUSE is a three-part system. The first of those parts is a kernel module which hooks into the VFS code and looks like a filesystem module. It also implements a special-purpose device which can be opened by a user-space process. It then spends its time accepting filesystem requests, translating them into its own protocol, and sending them out via the device interface. Responses to requests come back from user space via the FUSE device, and are translated back into the form expected by the kernel.

In user space, FUSE implements a library which manages communications with the kernel module. It accepts filesystem requests from the FUSE device and translates them into a set of function calls which look similar (but not identical) to the kernel's VFS interface. These functions have names like open(), read(), write(), rename(), symlink(), etc.

Finally, there is a user-supplied component which actually implements the filesystem of interest. It fills a fuse_operations structure with pointers to its functions which implement the required operations in whatever way makes sense. This interface is not well documented, but the example filesystem provided with FUSE (which implements a simple sort of loopback filesystem) is reasonably easy to follow.
An old filesystem module (AVFS) uses FUSE to make filesystems out of tar and zip files, but one could imagine any number of other possibilities. It would not be that hard to make filesystems which mirror a web site (in read-only mode, at least), provide access to an object database, or provide a file-per-user view of the password file, for example. FUSE could be an ideal platform for experimenters who want to take the "everything is a file" idea to its limit.
基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制问题,并提供完整的Matlab代码实现。文章结合数据驱动方法与Koopman算子理论,利用递归神经网络(RNN)对非线性系统进行建模与线性化处理,从而提升纳米级定位系统的精度与动态响应性能。该方法通过提取系统隐含动态特征,构建近似线性模型,便于后续模型预测控制(MPC)的设计与优化,适用于高精度自动化控制场景。文中还展示了相关实验验证与仿真结果,证明了该方法的有效性和先进性。; 适合人群:具备一定控制理论基础和Matlab编程能力,从事精密控制、智能制造、自动化或相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于纳米级精密定位系统(如原子力显微镜、半导体制造设备)中的高性能控制设计;②为非线性系统建模与线性化提供一种结合深度学习与现代控制理论的新思路;③帮助读者掌握Koopman算子、RNN建模与模型预测控制的综合应用。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现流程,重点关注数据预处理、RNN结构设计、Koopman观测矩阵构建及MPC控制器集成等关键环节,并可通过更换实际系统数据进行迁移验证,深化对方法泛化能力的理解。
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