使用EU DataGrid项目的结构管理工作包中的工具实现计算结构的自动化
Towards automation of computing fabrics using tools from the fabric management workpackage of the EU DataGrid project
摘要：
欧盟数据网格项目工作包4的目标是提供必要的工具，用于自动化管理中型到超大型计算结构。在第二个项目年结束时，已经交付了用于集中配置管理（在LISA'02上介绍）和性能/异常监测的子系统。这将很快增加一个用于节点安装和服务配置的子系统，该子系统基于现有的广泛使用的标准（如rpm、kickstart、init.d脚本）和与操作系统相关组件的干净接口（如基础安装和服务管理）。这三个子系统一起允许对非常大的计算机群进行集中管理。最后，一个容错系统正在开发中，以便将上述子系统结合在一起，在2003年第三季度前形成一个完整的自动化企业计算管理框架。所有开发的软件都是欧盟数据网格项目许可协议所涵盖的开源软件。本文介绍了所设计的结构管理系统背后的体系结构和不同的发展状况。它还涵盖了现有的自动化配置和安装工具的经验，这些工具从一开始就被调整和使用，以管理欧盟数据网格测试平台，该平台现在用于LHC数据挑战。
英文摘要：
The EU DataGrid project workpackage 4 has as an objective to provide the necessary tools for automating the management of medium size to very large computing fabrics. At the end of the second project year subsystems for centralized configuration management (presented at LISA'02) and performance/exception monitoring have been delivered. This will soon be augmented with a subsystem for node installation and service configuration, which is based on existing widely used standards where available (e.g. rpm, kickstart, init.d scripts) and clean interfaces to OS dependent components (e.g. base installation and service management). The three subsystems together allow for centralized management of very large computer farms. Finally, a fault tolerance system is being developed for tying together the above subsystems to form a complete framework for automated enterprise computing management by 3Q03. All software developed is open source covered by the EU DataGrid project license agreements. This article describes the architecture behind the designed fabric management system and the status of the different developments. It also covers the experience with an existing tool for automated configuration and installation that have been adapted and used from the beginning to manage the EU DataGrid testbed, which is now used for LHC data challenges.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
