BITS based imaging process

Tim Leamy, Rob Smith, Allan Chen
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引用次数: 2

Abstract

Many universities use Symantec Ghost to image PCs in their campus computer labs. However, issues related to network traffic, multicasting, and file size create numerous difficulties when transferring image files.Tim Leamy at University of California, Davis (UC Davis) created a system using Microsoft's Background Intelligent Transfer Service (BITS) to transfer Ghost images to PC. Allan Chen and Rob Smith have adapted the system to work at Stanford.The system uses BITS to transfer Symantec Ghost .gho and .ghs files to a FreeDOS partition on the client PC. The machine then rebuilds itself at the next reboot locally, making for extremely fast imaging times.BITS, which utilizes standard HTTP protocols, runs in the background using available network bandwidth. This leaves the workstation available for use by students. Because the file transfer is via HTTP, it works over all types of networking and is very robust. The image files themselves are stored on a standard web server. Actual downtime of the client is generally less than 10 minutes.Stanford University has adapted the UC Davis solution in a number of ways. The majority of the work has been in dealing with larger (14GB) image sizes and integrating the scripts and utilities into the Stanford environment. Scripting functionality has remained the same, though many of the actual scripts have been modified.This presentation will examine the original impetus and implementation at UC Davis, and Stanford's experiences in modifying that process to fit our needs.
基于BITS的成像过程
许多大学使用赛门铁克Ghost为校园计算机实验室中的个人电脑映像。但是,在传输图像文件时,与网络流量、组播和文件大小相关的问题会造成许多困难。加州大学戴维斯分校(UC Davis)的蒂姆·利米(Tim Leamy)利用微软的后台智能传输服务(BITS)创建了一个系统,将幽灵图像传输到个人电脑上。艾伦·陈(Allan Chen)和罗布·史密斯(Rob Smith)已将该系统应用于斯坦福大学。系统使用BITS将赛门铁克Ghost .gho和。ghs文件传输到客户端PC上的FreeDOS分区。然后,机器在下一次局部重启时自行重建,从而实现极快的成像时间。BITS利用标准的HTTP协议,在后台使用可用的网络带宽运行。这使得工作站可供学生使用。因为文件传输是通过HTTP进行的,所以它可以在所有类型的网络上工作,并且非常健壮。图像文件本身存储在标准的web服务器上。客户端的实际停机时间一般在10分钟以内。斯坦福大学在很多方面都采用了加州大学戴维斯分校的解决方案。大部分工作是处理更大(14GB)的图像大小,并将脚本和实用程序集成到Stanford环境中。脚本功能保持不变,尽管许多实际脚本已被修改。这次演讲将考察加州大学戴维斯分校最初的动力和实施,以及斯坦福大学在修改这一过程以满足我们的需求方面的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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