Abstract: A method of determining if a virtual machine is executing a network attack may include using a computing device operating a processor: receiving a plurality of jobs from a plurality of virtual machines being executed across time slices on a host computer in a computer network; executing the plurality of jobs using the processor; receiving data from hardware counters of the processor; and based on the data, determining whether or not a virtual machine of the plurality of virtual machines is executing a network attack.

Abstract: A network device (ND) includes packet processing circuitry and performance optimization circuitry. The packet processing circuitry is connected to a network and is configured to process communication packets for communicating over the network. The packet processing circuitry includes a plurality of configuration registers for setting one or more operation parameters of the ND. The performance optimization circuitry is configured to improve a performance measure of the ND by iteratively calculating the performance measure and adjusting values of one or more of the configuration registers based on the performance measure.

Abstract: In one embodiment, a processing apparatus includes processing circuitry to process an event, a timestamping unit to generate a timestamp for the event, at least one register to store at least one parameter describing a hardware state of the processing circuitry, and timestamp correction processing circuitry to compute a time value as a correction to the generated timestamp responsively to the at least one parameter.

Abstract: A method of determining if a virtual machine is executing a network attack may include using a computing device operating a processor: receiving a plurality of jobs from a plurality of virtual machines being executed across time slices on a host computer in a computer network; executing the plurality of jobs using the processor; receiving data from hardware counters of the processor; and based on the data, determining whether or not a virtual machine of the plurality of virtual machines is executing a network attack.

Abstract: In one embodiment, an event processing system includes a clock configured to provide time values, and event processing circuitry, which is configured to generate a confidence level indicative of a degree of confidence of an accuracy of a timestamp, the timestamp being generated for an event responsively to a time value indicative of when an operation associated with the event occurred.

Abstract: In one embodiment, a processing apparatus includes a processor to train an artificial intelligence model to find a pacing action from which to derive a pacing metric for use in serving content transfer requests.

Abstract: In one embodiment, a processing apparatus includes a processor to train an artificial intelligence model as data communication apparatus simulation engine to simulate operation of data communication apparatus, responsively to training data derived from log data collected about the data communication apparatus

Abstract: A network device (ND) includes packet processing circuitry and performance optimization circuitry. The packet processing circuitry is connected to a network and is configured to process communication packets for communicating over the network. The packet processing circuitry includes a plurality of configuration registers for setting one or more operation parameters of the ND. The performance optimization circuitry is configured to improve a performance measure of the ND by iteratively calculating the performance measure and adjusting values of one or more of the configuration registers based on the performance measure.

Abstract: A reinforcement learning agent learns a congestion control policy using a deep neural network and a distributed training component. The training component enables the agent to interact with a vast set of environments in parallel. These environments simulate real world benchmarks and real hardware. During a learning process, the agent learns how maximize an objective function. A simulator may enable parallel interaction with various scenarios. As the trained agent encounters a diverse set of problems it is more likely to generalize well to new and unseen environments. In addition, an operating point can be selected during training which may enable configuration of the required behavior of the agent.

Abstract: A network device (ND) includes packet processing circuitry and performance optimization circuitry. The packet processing circuitry is connected to a network and is configured to process communication packets for communicating over the network. The packet processing circuitry includes a plurality of configuration registers for setting one or more operation parameters of the ND. The performance optimization circuitry is configured to improve a performance measure of the ND by iteratively calculating the performance measure and adjusting values of one or more of the configuration registers based on the performance measure.

Abstract: In one embodiment, a processing apparatus includes processing circuitry to process an event, a timestamping unit to generate a timestamp for the event, at least one register to store at least one parameter describing a hardware state of the processing circuitry, and timestamp correction processing circuitry to compute a time value as a correction to the generated timestamp responsively to the at least one parameter.

Abstract: In one embodiment, an event processing system includes a clock configured to provide time values, and event processing circuitry, which is configured to generate a confidence level indicative of a degree of confidence of an accuracy of a timestamp, the timestamp being generated for an event responsively to a time value indicative of when an operation associated with the event occurred.

Abstract: A reinforcement learning agent learns a congestion control policy using a deep neural network and a distributed training component. The training component enables the agent to interact with a vast set of environments in parallel. These environments simulate real world benchmarks and real hardware. During a learning process, the agent learns how maximize an objective function. A simulator may enable parallel interaction with various scenarios. As the trained agent encounters a diverse set of problems it is more likely to generalize well to new and unseen environments. In addition, an operating point can be selected during training which may enable configuration of the required behavior of the agent.

Abstract: A network device (ND) includes packet processing circuitry and performance optimization circuitry. The packet processing circuitry is connected to a network and is configured to process communication packets for communicating over the network. The packet processing circuitry includes a plurality of configuration registers for setting one or more operation parameters of the ND. The performance optimization circuitry is configured to improve a performance measure of the ND by iteratively calculating the performance measure and adjusting values of one or more of the configuration registers based on the performance measure.