摘要
记者从发明人提供的背景信息中获得了以下引述：“本公开的方面涉及管理计算系统中的服务器修补过程。本公开的一个或多个方面涉及能够自动执行、监视和评估计算系统中的服务器修补过程的智能修补程序管理系统。”今天，许多企业组织(例如，商业组织、教育机构、政府实体，管理与每个企业组织的企业计算系统相关联的各种分布式系统和应用程序。这些系统和应用程序通常被安装在分布在与企业组织相关联的多个地理数据输入之间的服务器集群中。这些服务器通常需要定期维护以正确操作，在某些情况下，需要立即维护以解决运行过程中出现的意外问题。服务器修补是通过手动和自动程序维护和更新计算系统服务器的过程。由于与企业计算系统相关的服务RS和用户数量众多，服务器修补可能是一个耗时的过程，可能会引入一定程度的人为错误。给企业组织带来潜在的声誉损失，以及最终用户对与服务器停机相关的系统和应用程序的不满。许多系统和服务试图管理与服务器修补相关的流程，但它们缺乏集中的计划、协调和实施机制，以及智能地分析和学习以前的服务器修补流程的能力。
Abstract
Reporters obtained the following quote from the background information supplied by the inventors: “Aspects of the disclosure relate to managing server patching processes within a computing system. One or more aspects of the disclosure relat e to an intelligent patch management system capable of automatically executing, monitoring, and assessing server patching processes within a computing system. “Today, many enterprise organizations (e.g., business organizations, educational institutions, governmental entities, and the like) manage a variety distributed systems and applications that are associated with enterprise computing systems of each enterprise organization. These systems and applications are typically st ored among clusters of servers distributed between a number of geographic data c enters associated with the enterprise organization. These servers often require periodic maintenance to operate properly and, in some cases, require immediate m aintenance to resolve unexpected issues that arise during operation. Server patc hing is a process that serves to maintain and update servers of a computing syst em through manual and automatic procedures. Because of the large number of serve rs and users associated with enterprise computing systems, server patching can b e a time-consuming process that may introduce a degree of human error, leading t o potential reputational loss for the enterprise organization, as well end user dissatisfaction with the systems and applications associated with server outages . A number of systems and services attempt to manage the processes associated wi th server patching, however, they lack centralized scheduling, coordination, and implementation mechanisms, as well as the ability to intelligently analyze and learn from previous server patching processes.”
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