Pensando Systems Inc.

Cisco Technology, Inc.

Pavithra Ramaswamy

Umamaheswararao Karyampudi

Sarat Kamisetty

Pirabhu Raman

Murukanandam Kamalam Panchalingam

Shrey Ajmera

Harish Manoharan

Sri Goli

Lakshmi Narasimhan Seshan

Santosh Golecha

Two versions of a database can be held in two trees that have many of the same nodes. Both trees can be concurrently searched using recursive algorithms. A root node indicator indicates a root node for a tree search algorithm. The root node indicator can indicate a first root node of a first tree. A tree search algorithm can identify a record node in the first tree. Intermediate nodes between the record node and the first root node can be identified and retained nodes can be identified. A second root node and replacement intermediate nodes can be instantiated. A second tree that includes the second root node, the replacement intermediate node, and the retained nodes can be created. The root node indicator can be set to indicate the second root node after creating the second tree.

Methods and systems for data consistent search and storage using trees

A compressed flow log can be created from flow log entries. Flow log entries include field values for flow log fields. The entries can be compressed based on tuples (e.g., primary tuple, secondary tuple, tertiary tuple, etc.) specified by tuple definitions that specify the flow log fields in tuple content values. A first primary tuple content value can be based on a primary tuple definition and the field values of a first flow log entry included in flow log entries. A first primary tuple symbol can be associated with the first primary tuple content value. The first flow log entry can be used to create a first compressed flow log entry that includes the first primary tuple symbol. The first compressed flow log entry can be included in the compressed flow log, and the compressed flow log can be transmitted to a flow log consumer.

Methods and systems for flow log compression and coordination

Systems, methods, and computer-readable storage media for executing a copy service. A copy service engine can monitoring network data flow in a network, detect packet data containing a contract defining copy parameters for the execution of a copy service, and determine, based on the contract, when the particular data flow hits a particular network node specified in the contract parameters. When the data flow hits the specified node, the copy service engine can execute the copy service which copies the particular data flow, determines one or more endpoints for sending the copied data flow, and deploys the copies to the one or more endpoints.

Contract-defined execution of copy service

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Fremont, CA, United States of America

Pavithra Ramaswamy