This disclosure generally relate to a method and system for network policy simulation in a distributed computing system. The present technology relates techniques that enable simulation of a new network policy with regard to its effects on the network data flow. By enabling a simulation data flow that is parallel and independent from the regular data flow, the present technology can provide optimized network security management with improved efficiency.

A system and method for detecting a failure in a redundant signal path during operation of the redundant path is disclosed. A test signal is sequentially injected into each signal path while an input signal is conducted by the other signal path not receiving the test signal. The test signal is selected at a frequency to verify operation of a filter connected in series along each path. A processor generates the test signal, injects the test signal at the input of the filter, and receives the output of the filter. The processor then generates a frequency response of the filter in each signal path as a function of the output from the filter and of the original test signal. The frequency response obtained along each of the redundant signal paths is compared to each other to detect a failure of one of the filters present along the respective signal paths.

A system and method for detecting a failure in a redundant signal path during operation of the redundant path is disclosed. A test signal is sequentially injected into each signal path while an input signal is conducted by the other signal path not receiving the test signal. The test signal is selected at a frequency to verify operation of a filter connected in series along each path. A processor generates the test signal, injects the test signal at the input of the filter, and receives the output of the filter. The processor then generates a frequency response of the filter in each signal path as a function of the output from the filter and of the original test signal. The frequency response obtained along each of the redundant signal paths is compared to each other to detect a failure of one of the filters present along the respective signal paths.

This invention enables data communication that effectively utilizes data received normally or in a correctable manner at a timing which differs from the timing at which each slave communication terminal should receive data. A master communication device of this communication system comprises: a generation unit that generates transmission data consisting of consecutive data to all slave communication devices following one header; and a transmission unit that transmits the transmission data generated by the generation unit at the fastest cycle, among communication cycles requested by the plurality of slave communication devices. Each of the plurality of slave communication devices of the communication system comprises: a storage unit that adds information indicating reliability to data received from the master communication device and stores the same; a comparison unit that compares the reliability of subsequently received data and the reliability of the data stored in the storage unit; and a selection unit that selects the data stored in the storage unit if the reliability of the data stored in the storage unit is higher than the reliability of the data subsequently received by the comparison unit.

This invention enables data communication that effectively utilizes data received normally or in a correctable manner at a timing which differs from the timing at which each slave communication terminal should receive data. A master communication device of this communication system comprises: a generation unit that generates transmission data consisting of consecutive data to all slave communication devices following one header; and a transmission unit that transmits the transmission data generated by the generation unit at the fastest cycle, among communication cycles requested by the plurality of slave communication devices. Each of the plurality of slave communication devices of the communication system comprises: a storage unit that adds information indicating reliability to data received from the master communication device and stores the same; a comparison unit that compares the reliability of subsequently received data and the reliability of the data stored in the storage unit; and a selection unit that selects the data stored in the storage unit if the reliability of the data stored in the storage unit is higher than the reliability of the data subsequently received by the comparison unit.

A method of determining the quality of transmitted voice data can include: providing voice data at a transmitter side in a first data format, providing a first test signal in the first data format, combining the voice data and the test signal to form input data, transmitting the input data in a transmittal data format, receiving the transmitted input data at a receiver side to obtain output data, removing at least portions of a data packet in the output data or of a data packet derived therefrom in order to derive a second test signal, and analysing the derived second test signal by applying a predetermined analysis criterion in order to obtain at least one value for a quality indicator. An apparatus and system can also be configured to utilize embodiments of the method.

Methods may include alerting fixed service microwave operators that their network has been compromised due to interference, before their service is necessarily impacted. In an example, method may include receiving instructions to test fade margin for a wireless communication link associated with a receiver radio, wherein the wireless communication link is passing live traffic; testing the fade margin while the wireless communication link is passing the live traffic; receiving error information, wherein the error information is based on an error correction mechanism for the wireless communication link; based on the error information, determining that a threshold number of errors has been reached; and sending an alert based on the threshold number of errors.

A system performs verification of Ethernet hardware. A data frame including a first portion for storing a checksum value and a second portion for storing a timestamp value is received. The second portion of data frame is set to zero. A timestamp value for including in second portion of the data frame is received. A modified checksum value is determined based on the checksum value included in the first portion of the data frame and the timestamp value. A cyclic redundancy check (CRC) value is determined for the data frame by nullifying the checksum value in the data frame and considering the timestamp value. A final CRC value is determined by combining the CRC value for the data frame and a CRC correction value based on the checksum. The modified data frame is sent for processing using an emulator.

A system performs verification of Ethernet hardware. A data frame including a first portion for storing a checksum value and a second portion for storing a timestamp value is received. The second portion of data frame is set to zero. A timestamp value for including in second portion of the data frame is received. A modified checksum value is determined based on the checksum value included in the first portion of the data frame and the timestamp value. A cyclic redundancy check (CRC) value is determined for the data frame by nullifying the checksum value in the data frame and considering the timestamp value. A final CRC value is determined by combining the CRC value for the data frame and a CRC correction value based on the checksum. The modified data frame is sent for processing using an emulator.

Some embodiments provide a method for training a machine-trained (MT) network. The method propagates multiple inputs through the MT network to generate an output for each of the inputs. each of the inputs is associated with an expected output, the MT network uses multiple network parameters to process the inputs, and each network parameter of a set of the network parameters is defined during training as a probability distribution across a discrete set of possible values for the network parameter. The method calculates a value of a loss function for the MT network that includes (i) a first term that measures network error based on the expected outputs compared to the generated outputs and (ii) a second term that penalizes divergence of the probability distribution for each network parameter in the set of network parameters from a predefined probability distribution for the network parameter.