Cisco Technology, Inc.

Keysight Technologies Singapore (holdings) Pte. Ltd.

Anue Systems, Inc.

Keysight Technologies Singapore (sales) Pte. Ltd.

David W McGhee

Stefan Jan Johansson

Shardendu Pandey

Cary J Wright

Charles Albert Webb, Iii

James R Sisk

Richard L House

Scott Walker Register

Keith E Chaney

Traffic differentiator systems for network devices and related methods are disclosed that include automatic port order determination. The disclosed embodiments includes input ports that receive a first stream of packets and a second stream of packets and a packet difference processor that operates in a learning mode and a normal mode. In the learning mode of operation, the packet difference processor automatically determines a port order representing whether the first stream of packets for the first port or the second stream of packets for the second port represents a first in time version of received packets. In the normal mode of operation, the packet difference processor uses the port order determination to facilitate determination of difference packets between the first stream of packets and the second stream of packets.

Traffic differentiator systems and related methods including automatic packet stream order determination

Systems and methods are disclosed for parallel match processing of network packets to identify data for masking or other actions. In part, the disclosed embodiments receive packets and identify packet data, such as sensitive data, by rapid parallel matching of packet data being communicated in multi-byte wide data paths to match parameters in order to generate match vectors. The match vectors are then used to generate control vectors that are subsequently used by packet processing circuitry to perform desired actions for this packet data (e.g., mask data) and/or for related packets (e.g., drop packets). For example, data identified through the match processing can be masked, and control vectors can be mask control vectors applied to parallel multiplexers. In certain embodiments, the parallel data multiplexers are controlled by the mask control vectors to selectively output either original packet data or mask data that obscures original packet data.

Parallel match processing of network packets to identify packet data for masking or other actions

Systems and methods are disclosed for hash level load balancing for removal of duplicate network packets to form deduplicated packet streams. Hash values for input packets are used in part to select deduplication engines to receive hash data associated with received input packets, and this hash data is then forwarded to the selected deduplication engines for deduplication processing. The hash level load balancing reduces bandwidth requirements within the deduplication processing as compared to prior packet-based load balancing solutions for deduplication systems. Additional embodiments utilize port identifiers in addition to hash values to allow for increased flexibility in deduplication of packets from multiple input ports.

Hash level load balancing for deduplication of network packets

Traffic differentiator systems for network devices and related methods including automatic port order determination

Traffic differentiator systems for network devices and related methods are disclosed that determine difference packets from multiple packet streams. Some embodiments are configured to receive two streams of packets with one stream being a processed version of another stream and then to determine difference packets within a lookup time window that is, for example, associated with a processing time for the second stream to be a processed version of the first stream. Difference packets within a lookup time window can also be determined for packets received within a single combined stream of packets. Difference packets and/or related statistical information is then output for additional processing, as desired. The streams of packets can be associated with ingress and egress packets for a network device, and the difference packets and related statistical information can be used to determine packets that are removed, added, and/or modified by the network device.

Traffic differentiator systems for network devices and related methods

Systems and methods are disclosed for in-line removal of duplicate network packets in network packet streams operating at high speeds (e.g., 1-10 Gbps and above). A hash generator applies at least one hash algorithm to incoming packets to form one or more different hash values. The packet deduplication systems and methods then use the one or more hash values for each incoming packet to identify data stored for previously received backs and use the identified data to determine if incoming packets are duplicate packets. Duplicate packets are then removed from the output packet stream thereby reducing duplicate packets for downstream processing. A deduplication window can further be utilized to limit the amount of data stored for previous packets based upon one or more parameters, such as an amount of time that has passed and/or a number of packets for which data has been stored. These parameters can also be selected, configured and/or adjusted to achieve desired operational objectives.

Systems and methods for in-line removal of duplicate network packets

A system for repeating an xDSL signal ( ) is disclosed. The system comprises a receiver ( ) operable to receive the xDSL signal ( ), a first analog front end ( ) coupled to the receiver ( ) and operable to convert the xDSL signal to a digital signal, and a series of digital signal processors ( ) coupled to the first analog front end ( ) and operable to remove noise elements from the digital signal. Also provided is a second analog front end ( ) coupled to the second digital signal processor ( ) and operable to convert the digital signal back to the analog domain. A driver circuit ( ) is operable to increase the signal strength of the analog signal and retransmits it over a new length of wiring.

xDSL repeater system and method

A system to analyze and compensate for noise on a transmission line ( ) is provided. The system comprises a transmission card which includes a transceiver ( ), and a microprocessor ( ) attached to the transceiver ( ). The system also comprises a transmission line ( ) coupled to the transceiver ( ) and at least one customer premise equipment ( ) coupled to the transceiver ( ) by the transmission line ( ). The microprocessor ( ) is operable to monitor the transmission line ( ) and determine the signal-to-noise ratio on the line as a function of frequency, and adjust the rate of transmission in terms of bandwidth in terms of bits as a function of frequency.

Method and apparatus for determining crosstalk

A rate adaptive digital subscriber line (XDSL) communication system and method are disclosed. An XDSL link for XDSL equipment is trained at a data rate set by a baud rate and a constellation size. Actual operating characteristics of the XDSL equipment are then obtained from parameters for the trained XDSL link. One or more rate adaptive data tables storing empirical data for performance of the XDSL equipment are accessed. Then, it is determined whether the trained data rate will provide a desired bit error rate using the actual operating characteristics and the empirical data from the accessed one or more of the rate adaptive data tables. In one embodiment, if the trained data rate will not provide the desired bit error rate, a new data rate is selected using the empirical data and the actual operating characteristics. Then, the XDSL link is trained using the new data rate, and the process is repeated. Further, in one embodiment, the actual operating characteristics used comprise the actual receiver gain and signal-to-noise ratio, and the empirical data comprises specified receiver gains, signal-to-noise ratios, baud rates and constellation sizes used to achieve a desired bit error rate.

Growing community of inventors

Austin, TX, United States of America

David W McGhee