Abstract: A system, apparatus, and method are provided for modifying rules in-place atomically from the perspective of an active search process using the rules for packet classification. A rule may be modified in-place by updating a rule's definition to be an intersection of an original and new definition. The rule's definition may be further updated to the rule's new definition and a decision tree may used updated based on the rule's new definition. While a search processor searches for one or more rules that match keys generated from received packets the in-place rule modification prevents periods of incorrect rule matching of the keys thereby preventing packet loss and preserving throughput.

Abstract: Embodiments of the present invention relate to limiting maximum power dissipation occurred in a processor. Therefore, when an application that requires excessive amounts of power is being executed, the execution of the application may be prevented to reduce dissipated or consumed power.

Abstract: A packet classification system, methods, and corresponding apparatus are provided for enabling packet classification. A processor of a security appliance coupled to a network uses a classifier table having a plurality of rules, the plurality of rules having at least one field, to build a decision tree structure including a plurality of nodes, the plurality of nodes including a subset of the plurality of rules. By merging levels of decision trees, the methods may produce wider, shallower trees that result in shorter search times and reduced memory requirements for storing the trees.

Abstract: A packet classification system, methods, and corresponding apparatus are provided for enabling packet classification. A processor of a security appliance coupled to a network uses a classifier table having a plurality of rules, the plurality of rules having at least one field, to build a decision tree structure including a plurality of nodes, the plurality of nodes including a subset of the plurality of rules. By identifying duplication in decision trees, the methods may produce wider, shallower trees that result in shorter search times and reduced memory requirements for storing the trees.