MORPED:监视基于运行时和历史数据的主动错误检测规则

Ricardo Contreras Arriagada, K. Mahbub
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引用次数: 5

摘要

用于监视基于服务的系统的现有方法假定监视规则是预先定义并已知的。此外,在大多数情况下,监视规则与一组操作相关联,这些操作由与预期行为的偏差触发,以补偿意外行为。这种基于预定义规则的反应性策略并不真正适合于执行修改所需的时间至关重要的动态系统。在这项工作中,我们提出了MORPED,这是一个基于服务的系统运行时监控和适应的框架,它支持i)自动生成基于用户上下文的监控规则,能够预测系统中与用户上下文相关的即将出现的偏差;ii)基于主动服务发现的系统适应,以补偿可预见的偏差。
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MORPED: Monitor rules for proactive error detection based on run-time and historical data
Existing approaches for monitoring Service-based Systems assume monitor rules are pre-defined and known in advance. Furthermore, in most of the cases, monitor rules are associated to a set of actions, triggered by the deviations from the expected behaviour, to compensate for an unexpected conduct. Such a reactive strategy, based on pre-defined rules, is not really suitable in dynamic systems where the time require to perform a modification is critical. In this work, we present MORPED, a framework for run-time monitoring and adaptation of Service-based Systems that supports i) the automatic generation of user context-based monitor rules, capable of predicting forthcoming deviations in the system with respect to the user context and ii) the adaptation of the system, based on a proactive service discovery, to compensate the foreseen deviations.
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