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A Framework for Enforcing Application Policies in Database Systems

机译:用于在数据库系统中执行应用程序策略的框架

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As database systems have grown in terms of scale and complexity, administration tasks have become increasingly difficult and timeconsuming. A scarcity of skilled database professionals has meant that human costs have begun to dominate the total cost of ownership (TCO) of a database system. Database vendors are under immense pressure to provide solutions that make their products easy to administer in areas such as problem diagnostics, monitoring, query tuning, access control and system configuration. To address this issue, we have built a framework that allows control over many administration operations via the use of policies. Users can uniformly define, manage and enforce policies to affect disparate aspects of the system. In our framework, policies are declarative constructs that are comprised of type, scope, condition and action. Policy groups cover query monitoring and tuning, query prioritization, system configuration, access control, report generation, etc. Policy scope defines the domain over which policies apply. Policy actions are performed if certain conditions are true. This framework has been fully integrated into DB2 for z/OS V9. Using detailed system performance evaluations, we report that enforcement of policies is largely a function of data-collection granularity. Under the setting for normal monitoring with minimal report, the overhead on system performance is very low (0.1%).
机译:由于数据库系统在规模和复杂性方面增长,管理任务变得越来越困难和时间。稀缺的熟练数据库专业人士的意思是人力成本已经开始占据数据库系统的总体拥有成本(TCO)。数据库供应商处于巨大的压力,提供解决方案,使其产品易于管理问题诊断,监控,查询调整,访问控制和系统配置等领域。要解决此问题,我们建立了一个框架,允许通过使用策略来控制许多管理操作。用户可以统一定义,管理和强制执行系统的策略以影响系统的不同方面。在我们的框架中,策略是由类型,范围,条件和操作组成的声明性构造。策略组涵盖查询监视和调整,查询优先级,系统配置,访问控制,报告生成等。策略范围定义了应用策略的域。如果某些条件为真,则执行策略操作。此框架已完全集成到DB2中为Z ​​/ OS V9。使用详细的系统性能评估,我们报告了政策的执行基本上是数据收集粒度的函数。在正常监控的设置下,系统性能的开销非常低(0.1%)。

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