H04L43/02

Time-Series Telemetry Data Compression
20230239224 · 2023-07-27 ·

A system can identify a first group of time-series telemetry data that represents performance metrics of a computing device, wherein the first group of time-series telemetry data identifies respective first values and corresponding respective first timestamps. The system can create a second group of time-series telemetry data that identifies second timestamps. The system can populate the second group of time-series telemetry data with the respective first values at respective first locations of the second group of time-series telemetry data that correspond to the respective first timestamps of the respective first values. The system can create a tensor that identifies third timestamps. The system can populate the tensor with the respective first values at respective second locations of the tensor that correspond to the respective first timestamps of the respective first values, wherein populating the tensor comprises combining two values of the respective first values.

Time-Series Telemetry Data Compression
20230239224 · 2023-07-27 ·

A system can identify a first group of time-series telemetry data that represents performance metrics of a computing device, wherein the first group of time-series telemetry data identifies respective first values and corresponding respective first timestamps. The system can create a second group of time-series telemetry data that identifies second timestamps. The system can populate the second group of time-series telemetry data with the respective first values at respective first locations of the second group of time-series telemetry data that correspond to the respective first timestamps of the respective first values. The system can create a tensor that identifies third timestamps. The system can populate the tensor with the respective first values at respective second locations of the tensor that correspond to the respective first timestamps of the respective first values, wherein populating the tensor comprises combining two values of the respective first values.

Method and apparatus for identifying encrypted data stream
11706254 · 2023-07-18 · ·

A method includes parsing a handshake message of an encrypted data stream according to a secure encrypted transmission protocol corresponding to the encrypted data stream, to obtain a plurality of fields included in the handshake message, determining, from a plurality of rule sets and based on the plurality of fields, a rule set that matches the handshake message, and determining, based on a mapping relationship between the matched rule set and an application, an application corresponding to the encrypted data stream.

Method and computer system for monitoring message packets
11558493 · 2023-01-17 · ·

A method for monitoring message packets that are exchanged between at least two control units. The message packets are concatenated in a data stream and each have an identifier, a payload, and a length specification of the payload described by a data item of predefined word size. The at least two control units are connected by a distributor. The distributor is connected by a first distributor port to a first of the at least two control units, is connected by a second distributor port to a second of the at least two control units, and is connected by a third distributor port to a computer system. The data stream flows through the first and distributor port for communication between the first node and the second node. The computer system has a memory, and information on the respective identifiers of the message packets is stored in the memory.

Method and computer system for monitoring message packets
11558493 · 2023-01-17 · ·

A method for monitoring message packets that are exchanged between at least two control units. The message packets are concatenated in a data stream and each have an identifier, a payload, and a length specification of the payload described by a data item of predefined word size. The at least two control units are connected by a distributor. The distributor is connected by a first distributor port to a first of the at least two control units, is connected by a second distributor port to a second of the at least two control units, and is connected by a third distributor port to a computer system. The data stream flows through the first and distributor port for communication between the first node and the second node. The computer system has a memory, and information on the respective identifiers of the message packets is stored in the memory.

Methods and apparatuses for identifying characteristics of users of electronic resources

A system for determining ownership information for users of electronic resources includes at least one computing device configured to receive a trigger request and obtain first resource usage data and first resource identity data from a first resource provider using a first resource collection engine. The system also is configured to obtain second resource usage data and second resource identity data from a second resource provider using a second resource collection engine. The system is also configured to select one or more users of interest based on the first resource usage data, the first resource identity data, the second resource usage data and the second resource identity data and to determine ownership of the selected one or more users of interest.

MEASURING METRICS OF A COMPUTER NETWORK
20230216755 · 2023-07-06 ·

A method of measuring (100) metrics of a computer network, comprising the steps of: from a data source collecting (110) sets of data points during a sampling time period, wherein the set of data points constitute a sample, and uploading (120) each sample to a server for further processing (130), wherein from each sample, a fractile information instance is produced (131), wherein the fractile information has a type and each data source is associated (110a) with a fractile information type.

MEASURING METRICS OF A COMPUTER NETWORK
20230216755 · 2023-07-06 ·

A method of measuring (100) metrics of a computer network, comprising the steps of: from a data source collecting (110) sets of data points during a sampling time period, wherein the set of data points constitute a sample, and uploading (120) each sample to a server for further processing (130), wherein from each sample, a fractile information instance is produced (131), wherein the fractile information has a type and each data source is associated (110a) with a fractile information type.

PAIRING MULTIPLE DEVICES INTO A DESIGNATED GROUP FOR A COMMUNICATION SESSION

Methods, apparatus, and processor-readable storage media for pairing multiple devices into a designated group for a communication session are provided herein. An example computer-implemented method includes processing, via at least a portion of multiple processing devices, information associated with a network in connection with one or more device pairing requests from one or more of the processing devices; implementing, via at least one the multiple processing devices, a pairing algorithm, wherein the pairing algorithm comprises searching for one or more of the processing devices, in accordance with one or more temporal values associated with the at least one processing device and at least one of the one or more device pairing requests corresponding thereto, and one or more pairing parameters; and automatically pairing, via the network and based on the pairing algorithm, the at least one processing device to one or more of the processing devices.

PAIRING MULTIPLE DEVICES INTO A DESIGNATED GROUP FOR A COMMUNICATION SESSION

Methods, apparatus, and processor-readable storage media for pairing multiple devices into a designated group for a communication session are provided herein. An example computer-implemented method includes processing, via at least a portion of multiple processing devices, information associated with a network in connection with one or more device pairing requests from one or more of the processing devices; implementing, via at least one the multiple processing devices, a pairing algorithm, wherein the pairing algorithm comprises searching for one or more of the processing devices, in accordance with one or more temporal values associated with the at least one processing device and at least one of the one or more device pairing requests corresponding thereto, and one or more pairing parameters; and automatically pairing, via the network and based on the pairing algorithm, the at least one processing device to one or more of the processing devices.