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Model and system for reasoning with N-step lookahead in policy-based system management

机译:基于策略的系统管理中N步超前推理的模型和系统

摘要

When an alarm condition relating to a performance goal of a storage system is detected, a storage management system invokes an N-step lookahead engine for simulating operation of the storage system when there are multiple actions that could be taken by the storage system for eliminating the alarm condition. The N-step lookahead engine generates N possible system states based on a current state of the storage system. The N possible states are based on a cost model of each of the multiple actions. Each cost model is based on an action, a behavior implication of the action, a resource implication of the action and a transient cost of the action. An action is selected that generates a system state that optimizes the stability, a prerequisite and a transient cost of invoking the selected action.
机译:当检测到与存储系统性能目标有关的警报条件时,当存储系统可以采取多种措施来消除存储系统的运行时,存储管理系统会调用N步超前引擎来模拟存储系统的操作。警报条件。 N步超前引擎基于存储系统的当前状态生成N个可能的系统状态。 N个可能状态基于多个操作中每个操作的成本模型。每个成本模型都基于操作,操作的行为含义,操作的资源含义以及操作的瞬时成本。选择了一个动作,该动作生成了一个系统状态,该状态优化了调用所选动作的稳定性,前提条件和瞬时成本。

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