Abstract: Systems, methods, and non-transitory computer readable media for storing and processing metadata corresponding to files are presented. The system comprises first, second, and third computing nodes. The computing nodes comprise a plurality of slices of a metadata database that is separate and independent from file storage, and each slice is configured to store metadata. The computing nodes further comprise a slice route table that indicates primary and secondary locations of each unique slice in the plurality of slices. The slice route table comprises a plurality of entries, each of which comprise a slice number corresponding to a slice in the plurality of slices of the metadata database, a primary computing node number corresponding to a primary computing node that comprises the slice and corresponds to the primary location, and a secondary computing node number corresponding to a secondary computing node that comprises the slice and corresponds to the secondary location.

Abstract: A system and method classifies packets with a programmably fixed network processor program and dynamically updated data structures. The network processor program selects predetermined packet field values of the packets transmitted across the network and classifies the packets by matching one or more packet field values with a data structure. New packet classifications are dynamically created by updating the data structure to associate one or more predetermined packet field values with the new packet classification. For instance, a parse tree program extracts packet header information and matches the packet header information to the data structure. A pattern tree data structure provides longest prefix matches and an ordered tree data structure provides combination matches so that classification of arbitrary Boolean combinations of extracted header fields can be formed.

Abstract: A system and method classifies packets with a programmably fixed network processor program and dynamically updated data structures. The network processor program selects predetermined packet field values of the packets transmitted across the network and classifies the packets by matching one or more packet field values with a data structure. New packet classifications are dynamically created by updating the data structure to associate one or more predetermined packet field values with the new packet classification. For instance, a parse tree program extracts packet header information and matches the packet header information to the data structure. A pattern tree data structure provides longest prefix matches and an ordered tree data structure provides combination matches so that classification of arbitrary Boolean combinations of extracted header fields can be formed.