OPTIMIZATION FRAMEWORK FOR IN-MEMORY STORAGE OF POLICY SESSION DATA

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.