Abstract: Methods, systems, and computer program products to combine multiple telemetry data signals to generate a single higher resolution signal. In embodiments, the method includes: modulating a sampling of telemetry data by at least two network devices; receiving telemetry data from the at least two network devices; combining the received telemetry data; and determining a status of the network and/or network devices based on a processing of the combined telemetry data.

Abstract: A network device, system-on-a-chip, and method of performing packet handling are described. A packet is received, and data associated with the packet is processed, using a configurable artificial intelligence engine, to generate a size classification for a flow associated with the packet. An action is performed based, at least in part, on the size classification for the flow associated with the packet.

Abstract: A data compression system comprising computer memory to store plural compression algorithms and a hardware processor to apply compression algorithm/s to incoming data items, wherein the compression algorithm to be applied to individual data item/s from among the incoming data items is selected, from among the plural compression algorithms, by the hardware processor, depending at least on the individual data item.

Abstract: Methods, systems, and computer program products to combine multiple telemetry data signals to generate a single higher resolution signal. In embodiments, the method includes: modulating a sampling of telemetry data by at least two network devices; receiving telemetry data from the at least two network devices; combining the received telemetry data; and determining a status of the network and/or network devices based on a processing of the combined telemetry data.

Abstract: A network device, system-on-a-chip, and method of performing packet handling are described. A packet is received, and a lookup based on one or more packet header fields of the packet is performed using a lookup generator action handler. An artificial intelligence engine processes packet header data associated with the packet, and a smart indication is generated. A forwarding decision is made for the packet based on the lookup performed by the lookup generator action handler as well as based on the smart indication generated with the artificial intelligence engine.

Abstract: A network device includes at least one port, a memory, data-path circuitry, and a processor. The at least one port is to exchange packets with a network. The data-path circuitry is to process the packets. The memory is to store signatures of traffic patterns according to a locality-sensitive signature function., and corresponding parameter settings for the data-path circuitry. The processor is to assess a current traffic pattern of the packets, to calculate a current signature over the current traffic pattern using the locality-sensitive signature function, to query the memory using the current signature, to configure the data-path circuitry, in response to finding a stored signature that is within a specified distance from the current signature, with a parameter setting that corresponds to the found signature, and take an alternative action in response to finding that no stored signature is within the specified distance from the current signature.