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Optimization framework for in-memory storage of policy session data
Optimization framework for in-memory storage of policy session data
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机译:用于策略会话数据的内存中存储的优化框架
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摘要
The present disclosure provides for an optimization framework that optimizes the amount of information persisted in a policy session using rule introspection. In one embodiment, the optimization framework receives a message, where the message includes an attribute, and the attribute includes an attribute name and an attribute value. The optimization framework consults a mapping table to determine persistence behavior associated with the attribute name. The optimization framework persists the attribute in a rule field cache, according to the persistence behavior. In one embodiment, the persistence behavior includes a persistence type, a persistence mode, and/or custom persistence logic, which specify how the attribute should be persisted. In one embodiment, the optimization framework also provides for performing rule introspection and rule evaluation of decision rules.
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