Disclosed is an electronic device including a communication circuit and a processor. The processor may be configured to communicate with an external electronic device based on a specified protocol, using the communication circuit, to receive first information at least including type information of the external electronic device based on the specified protocol, using the communication circuit, and to determine a positioning master for measuring a distance between the electronic device and the external electronic device based at least on the first information among the electronic device and the external electronic device. Other various embodiments as understood from the specification are also possible.

A network device includes a network interface, a host interface and processing circuitry. The network interface is configured to connect to a communication network. The host interface is configured to connect to a host including a host processor running a client process. The processing circuitry is configured to receive packets originating from a peer process, to identify, in at least some of the received packets, application level information that is exchanged between the client process and the peer process, and to initiate reporting of one or more of the received packets to the client process, based on the application level information.

The present disclosure is directed to a method of detecting anomalous behaviors based on a temporal profile. The method can include collecting, by a control system comprising a processor and memory, a set of network data communicated by a plurality of network nodes over a network during a time duration. The method can include identifying, by the control system, one or more seasonalities from the set of network data. The method can include generating, by the control system, a temporal profile based on the one or more identified seasonalities. The method can include detecting, by the control system and based on the temporal profile, an anomalous behavior performed by one of the plurality of network nodes. The method can include identifying, by the control system and based on the temporal profile, a root cause for the anomalous behavior.

The present disclosure is directed to a method of detecting anomalous behaviors based on a temporal profile. The method can include collecting, by a control system comprising a processor and memory, a set of network data communicated by a plurality of network nodes over a network during a time duration. The method can include identifying, by the control system, one or more seasonalities from the set of network data. The method can include generating, by the control system, a temporal profile based on the one or more identified seasonalities. The method can include detecting, by the control system and based on the temporal profile, an anomalous behavior performed by one of the plurality of network nodes. The method can include identifying, by the control system and based on the temporal profile, a root cause for the anomalous behavior.

In certain embodiments, a forwarding device receives at least one service flow. The forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow. M is an integer greater than o, and the network object includes one or more devices. The forwarding device sends detection information to a first device, where the detection information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow. The detection information is used to detect whether the network object is in a faulty state.

In certain embodiments, a forwarding device receives at least one service flow. The forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow. M is an integer greater than o, and the network object includes one or more devices. The forwarding device sends detection information to a first device, where the detection information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow. The detection information is used to detect whether the network object is in a faulty state.

A communication apparatus comprises a TCP terminating part that terminates TCP communication with an apparatus of data transmission destination, a monitoring part that monitors network status of the apparatus of data transmission destination on a per-session basis, and a transferring rate controlling part that changes size of a transmission buffer that is adopted to the session based on the network status.

The method is for the transfer of data of a message subdivided in fragments from a first intermediary electronic processing unit (43) to a second intermediary electronic processing unit (45); before the transfer, the first unit (43) receives the data encapsulated in the payload of data packets of the TCP type from a sender electronic processing unit (41) and decapsulates them; after the transfer, the second unit (45) encapsulates data in the payload of data packets of the TCP type and transmits them to a recipient electronic processing unit (47); the transfer takes place by means of data packets of the UDP type; the first unit (43) also inserts in the payload (32) of UDP packets; a first data field (C1) containing an identifier of a connection between the sender unit (41) and the recipient unit (47), a second data field (C2) containing an identifier of the message to be transferred, and a third data field (C3) containing a number that identifies the position of a fragment within the message to be transferred.

A distributed system for software verification includes a plurality of processors, each of which actively executes a verified software to perform a verifying operation of a corresponding target object under no external instruction, wherein the plurality of processors independently perform verifying operations of different target objects; a switch including a plurality of first connection ports electrically coupled to the plurality of processors, respectively, and a second connection port electrically coupled to each of the plurality of first connection ports; and a data collector electrically coupled to the second connection port. An information report is generated and sent to the data collector via the corresponding first connection port and the second connection port in response to the verifying operation.

A distributed system for software verification includes a plurality of processors, each of which actively executes a verified software to perform a verifying operation of a corresponding target object under no external instruction, wherein the plurality of processors independently perform verifying operations of different target objects; a switch including a plurality of first connection ports electrically coupled to the plurality of processors, respectively, and a second connection port electrically coupled to each of the plurality of first connection ports; and a data collector electrically coupled to the second connection port. An information report is generated and sent to the data collector via the corresponding first connection port and the second connection port in response to the verifying operation.