This application provides a method, device, and system for determining a bandwidth for service flow transmission. The method includes: A first device obtains a first traffic sampling set of a service flow, where the first traffic sampling set includes one or more pieces of traffic sampling information. The first device obtains a service level parameter corresponding to the service flow and a reliability probability of meeting the service level parameter. The first device determines, based on the first traffic sampling set, the service level parameter, and the reliability probability, a bandwidth for transmitting the service flow.

A central networking system supports efficient identification and analysis of problems that occur at associated nodes on the network. Using network monitoring rules, the central networking system samples data from a subset of nodes in response to an indication that an error or problem has occurred on the network. If the collected sample data is determined to satisfy certain network conditions, the central networking system proceeds to perform network operations on nodes of the entire network, as appropriate. Thus, the system does not need to collect data from every node in a large network to address potential network threats. The central networking system also defines rules for detecting when a node experiencing a problem violates safety conditions such that it is impossible or inadvisable to pull analytical data from the node. The system performs appropriate remedial actions to address the node problems prior to requesting data for analysis.

Embodiments of this application disclose a data processing method, which can be applied to a clock synchronization network system. The system can correct, based on a clock frequency error or a time error, a data timestamp of a data packet collected by the system in a time period in which there is no reference clock, so that a corrected system time of the data packet is consistent with a reference time. This improves accuracy of data record.

In an embodiment computer-readable training data records characterizing operation of a communication network may be used to train a machine learning (ML) model of network performance to predict expected performance characteristics, each training data record including operational features and observed performance characteristics of the communication network. The ML model may compute mappings of feature-values pairs to predicted performance characteristics. For a first subset of training data records, a fair distribution of first quantitative contributions of operational features of predicted performance characteristics may be computed, the first subset representing a baseline of observed performance characteristics. For a second subset of training data records, a fair distribution of second respective quantitative contributions of predicted performance characteristics may be computed, the second subset representing a problematic performance characteristic. Comparing the first and second quantitative contributions may determine a degradation metric for associating operational features of the second subset with the problematic performance characteristic.

A method executed by a dynamic session key acquisition (DSKA) engine residing in a virtual environment includes receiving session decryption information extraction instructions that configure the DSKA engine to obtain session decryption information for at least one communication session involving a virtual machine and obtaining the session decryption information from the virtual machine in accordance with the session decryption information extraction instructions. The session decryption information includes cryptographic keys utilized by an application server instance in the virtual machine to establish the at least one communication session. The session decryption information obtained from the virtual machine is stored and provided to a network traffic monitoring (NTM) agent. The NTM agent utilizes the session decryption information to decrypt copies of encrypted network traffic flows belonging to the at least one communication session involving the virtual machine.

A system controls a transmission of data. A sensor datum measured by a sensor is received. Whether to send the received sensor datum to a multiplexer is determined based on a predefined real time download rate. When the determination indicates to send the received sensor datum to the multiplexer, the received sensor datum is sent to the multiplexer. When the determination does not indicate to send the received sensor datum to the multiplexer, the received sensor datum is written to a data file. The written sensor datum is sent from the data file to the multiplexer when there is an indicator of excess available bandwidth.

A system controls a transmission of data. A sensor datum measured by a sensor is received. Whether to send the received sensor datum to a multiplexer is determined based on a predefined real time download rate. When the determination indicates to send the received sensor datum to the multiplexer, the received sensor datum is sent to the multiplexer. When the determination does not indicate to send the received sensor datum to the multiplexer, the received sensor datum is written to a data file. The written sensor datum is sent from the data file to the multiplexer when there is an indicator of excess available bandwidth.

A communication device includes a packet detection circuit, a decoding circuit and a threshold decision circuit. The packet detection circuit is arranged to perform packet detection according to at least one threshold to determine whether a packet is included in a received signal. The decoding circuit is arranged to decode the packet when packet detection circuit determines that the packet is included in the received signal, and determine whether the packet is a predetermined packet. The threshold decision circuit is arranged to calculate a number of the predetermined packet received within a time period and adjust the at least one threshold according to the number of the predetermined packet.

A communication device includes a packet detection circuit, a decoding circuit and a threshold decision circuit. The packet detection circuit is arranged to perform packet detection according to at least one threshold to determine whether a packet is included in a received signal. The decoding circuit is arranged to decode the packet when packet detection circuit determines that the packet is included in the received signal, and determine whether the packet is a predetermined packet. The threshold decision circuit is arranged to calculate a number of the predetermined packet received within a time period and adjust the at least one threshold according to the number of the predetermined packet.

A method includes receiving a representation of a predefined planned event that includes the use of a first set of cellular data service infrastructure elements. A performance of the first set of cellular data service infrastructure elements is simulated, and a predicted failure of at least one cellular data service infrastructure element from the first set of cellular data service infrastructure elements is identified based on the simulation. In response to identifying the predicted failure, a modification to the at least one cellular data service infrastructure element or an additional cellular data service infrastructure element is determined and included in a second set of cellular data service infrastructure elements whose performance is subsequently simulated. The simulated performance of the first set of cellular data service infrastructure elements is compared with the simulated performance of the second set of cellular data service infrastructure elements to determine a performance improvement.