University of Florida Research Foundation, Incorporated

Haibin Lu

Sartaj Kumar Sahni

Kun Suk Kim

The subject invention provides a data structure and method for IP lookups, insertions, and deletions using a dynamic tree bitmap structure (DTBM) that utilizes an array of child pointers for each node instead of the typical TBM approach using one pointer to an array of children.

Dynamic tree bitmap for IP lookup and update

A system for classifying data packets transmitted over a data communications network based upon a set of predetermined prefixes associated with destination addresses of the data packets is provided. The includes a data structure stored in an electronic memory. The data structure is a prefix-in-B-tree (PIBT) data structure and/or a range-in-B-tree (RIBT) data structure, the at least one data structure comprising a plurality of nodes based upon the set of predetermined prefixes. The system also includes a determination module for determining a match between one or more of the plurality of nodes and a destination address of a particular data packet.

System and methods for packet filtering

An improved system and method is provided for packet routing in dynamic router tables. Specifically, the invention provides a method, computer system, and computer readable media for using Priority Search Trees (PSTs) to match, insert, and delete rules in dynamic routing tables in O(log n) time. In a first embodiment, for a dynamic router table consisting of n pairs of tuples, each tuple comprising an address prefix and next-hop information, the invention provides a system and method, using a PST, for inserting a new tuple, deleting an existing tuple, and searching for the tuple with the longest matching prefix for destination address, wherein each operation is performed in O(log n) time. In a second embodiment, for a dynamic router table consisting of n pairs of tuples, each tuple comprising a range of destination addresses and next-hop information, the invention provides a system and method, using a PST and a set of red-black priority search tree (RBPST), for inserting a new tuple, deleting an existing tuple, and searching for the tuple with the most specific matching range, wherein each operation is performed in O(log n) time. The invention can be implemented in numerous ways to improve dynamic router table performance, including as a system, a device, a method, or a computer readable medium.

O(log n) dynamic router tables for prefixes and ranges

An improved system and method is provided for packet routing in dynamic router tables. Specifically, the invention relates to a method and system for using tree data structures to select the highest priority rule that matches a destination address in dynamic Internet packet routing tables. In an embodiment, a data structure called BOB (binary tree on binary tree) for dynamic router tables in which the rule filters are nonintersecting ranges and in which ties are broken by selecting the highest-priority rule that matches a destination address is disclosed. Prefix filters are a special case of nonintersecting ranges and the commonly used longest-prefix tie breaker is a special case of the highest-priority tie breaker. When an n-rule router table is represented using BOB, the highest-priority rule that matches a destination address may be found in O(logn) time; a new rule maybe inserted and an old one deleted in O(log n) time. For the case when all rule filters are prefixes, the data structure PBOB (prefix BOB) permits highest-priority matching as well as rule insertion and deletion in O(W) time, where W is the length of the longest prefix, each. When all rule filters are prefixes and longest-prefix matching is to be done, the data structures LMPBOB (longest matching-prefix BOB) permits longest-prefix matching in O(W) time; rule insertion and deletion each take O(log n) time. On practical rule tables, BOB and PBOB perform each of the three dynamic-table operations in O(log n) time and with O(log n) cache misses. The number of cache misses incurred by LMPBOB is also O(log n).

Dynamic IP router tables using highest-priority matching

Systems and methods for improving the performance of dynamic router table data structures are provided. The invention relates to methods and systems for partitioning prefixes or prefix-based intervals. In one embodiment, priority search tree router data structures are applied to prefix partitions of the present invention. In another embodiment, basic-interval tree and prefix tree data structures are applied to interval partitions of the present invention.

Partitioning methods for dynamic router tables

A method is provided to improve the performance of dynamic router-table designs. Specifically, the invention relates to a method and system for partitioning prefixes at each node of a partitioning tree into 2+1 partitions using the next s bits of the prefixes. Prefixes that have a length less than s are placed into partition &#x2212;1, with the remaining prefixes falling into the remaining partitions that correspond to the value of their first s bits. Prefix partitioning may be controlled using either static rule tables or by dynamic rule tables. In one embodiment, binary tree on binary tree (BOB) data structures are applied to a partition of the present invention. In another embodiment, prefix binary tree on binary tree (PBOB) data structures are applied to a partition of the present invention. In a further embodiment, a dynamic longest-matching prefix binary tree on binary tree-table (LMPBOB) is applied to a partition of the present invention.

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Gainesville, FL, United States of America

Haibin Lu