This application provides a data sending method and apparatus applicable to Bluetooth communication. A data sending method applicable to Bluetooth communication in this application includes: sending at least one first packet to a first receiving device by using a Bluetooth communication connection, where the at least one first packet is generated by using a first packet assembly manner; determining, based on a receiving status of at least one piece of feedback information sent by the first receiving device, to generate at least one second packet by using the first packet assembly manner or a second packet assembly manner, where the at least one piece of feedback information is an acknowledgment or a negative acknowledgment fed back by the first receiving device after receiving the at least one first packet; and sending the at least one second packet to the first receiving device by using the Bluetooth communication connection.

The embodiments of the present application provide a network monitoring method, an electronic device and a storage medium. The method includes: in response to receiving abnormal information reported by a network node, determining a suspicious region according to the abnormal information, the abnormal information is transmitted to the network management system from the network node in response to detecting by the network node that a network transmission index is abnormal; transmitting an acquisition instruction to the network node within the suspicious region, wherein the acquisition instruction includes an order for acquiring a device performance index of the network node; receiving the device performance index returned, in response to the acquisition instruction, by the network node within the suspicious region; and generating an abnormality analysis report according to the device performance index.

In a message modulated according to orthogonal amplitude-modulated component signals in 5G or 6G, the receiver can attempt to recover a corrupted message by evaluating the modulation quality of each component signal in each message element. The modulation quality of each component signal may be determined according to a distance between the amplitude of the component signal and the closest amplitude level of the modulation scheme, as determined by a prior demodulation reference. The modulation quality may also be determined by the SNR and amplitude stability of the component signal. Upon detecting a corrupted message, the receiver can identify the faulted message elements according to modulation quality, and if the faulted message elements are clustered in a portion of the message (as is common), the receiver can request that just the faulted portion be retransmitted, saving time and bandwidth.

A computing node to implement an RL management entity in an NG wireless network includes a NIC and processing circuitry coupled to the NIC. The processing circuitry is configured to generate a plurality of network measurements for a corresponding plurality of network functions. The functions are configured as a plurality of ML models forming a multi-level hierarchy. Control signaling from an ML model of the plurality is decoded, the ML model being at a predetermined level (e.g., a lowest level) in the hierarchy. The control signaling is responsive to a corresponding network measurement and at least second control signaling from a second ML model at a level that is higher than the predetermined level. A plurality of reward functions is generated for training the ML models, based on the control signaling from the MLO model at the predetermined level in the multi-level hierarchy.

Methods and systems for a networked storage environment are provided. One method includes splitting, by a first node, a payload into a plurality of data packets, each data packet having a portion of the payload indicated by an offset value indicating a position of each portion within the payload; transmitting, by the first node, the plurality of data packets to a second node using a network connection for a transaction, each data packet including a header generated by the first node having the offset value and a payload size; receiving, by the first node, a message from the second node indicating an offset value of a missing payload of a missing data packet from among the plurality of data packets; and resending, by the first node, the missing data packet and any other data packet whose offset value occurs after the offset value of the missing payload.

Methods and systems for a networked storage environment are provided. One method includes splitting, by a first node, a payload into a plurality of data packets, each data packet having a portion of the payload indicated by an offset value indicating a position of each portion within the payload; transmitting, by the first node, the plurality of data packets to a second node using a network connection for a transaction, each data packet including a header generated by the first node having the offset value and a payload size; receiving, by the first node, a message from the second node indicating an offset value of a missing payload of a missing data packet from among the plurality of data packets; and resending, by the first node, the missing data packet and any other data packet whose offset value occurs after the offset value of the missing payload.

In order to provide a control apparatus achieving an efficient control of network using a machine learning, a control apparatus includes a learning unit and a control unit. The learning unit learns an action for controlling the network. The control unit controls the network by setting a control parameter to an apparatus included in the network based on an action obtained from a learning model generated by the learning unit. The control unit decides the control parameter based on an influence of the action obtained from the learning model on a state of the network.

A traffic-aware switch-shared cache scheduling method includes: S1, setting a cache threshold of each outgoing port of a switch according to a traffic state of each outgoing port of the switch; S2, monitoring each outgoing port of the switch to determine whether an event of packet entry queue, packet exit queue, packet loss, buffer overflow or port queue state change occurs; S3, determining a traffic state of the outgoing port according to the event that occurs at the outgoing port and corresponding port queue state information; S4, setting a port control state according to the traffic state of the outgoing port; and S5, adjusting the cache threshold corresponding to the outgoing port according to the port control state, and performing S2 to continue monitoring until the switch stops working.

Some embodiments provide a method for maintaining a virtual network that spans at least one cloud datacenter separate from multi-machine edge nodes of an entity. This method configures a gateway in the cloud datacenter to establish secure connections with several edge devices at several multi-machine edge nodes (e.g., branch offices, datacenters, etc.) in order to establish the virtual network. The method configures the gateway to assess quality of connection links with different edge devices, and to terminate a secure connection with a particular edge device for a duration of time after the assessed quality of the connection link to the particular edge device is worse than a threshold value. In some embodiments, the gateway is configured to distribute routes to edge devices at the edge nodes, and to forgo distributing any route to the particular edge device along the connection link for the duration of time when the assessed quality of the connection link is worse than (e.g., less than) a threshold value. In different embodiments, the gateway assesses the quality of the connection link based on different factors or different combinations of factors. Examples of such factors in some embodiments include the following attributes of a connection link: packet loss, latency, signal jitter, etc. Also, the routes that the gateway distributes in some embodiments include routes that the edge devices distribute to the gateway, as well as routes that the gateway learns on its own.

Some embodiments provide a method for maintaining a virtual network that spans at least one cloud datacenter separate from multi-machine edge nodes of an entity. This method configures a gateway in the cloud datacenter to establish secure connections with several edge devices at several multi-machine edge nodes (e.g., branch offices, datacenters, etc.) in order to establish the virtual network. The method configures the gateway to assess quality of connection links with different edge devices, and to terminate a secure connection with a particular edge device for a duration of time after the assessed quality of the connection link to the particular edge device is worse than a threshold value. In some embodiments, the gateway is configured to distribute routes to edge devices at the edge nodes, and to forgo distributing any route to the particular edge device along the connection link for the duration of time when the assessed quality of the connection link is worse than (e.g., less than) a threshold value. In different embodiments, the gateway assesses the quality of the connection link based on different factors or different combinations of factors. Examples of such factors in some embodiments include the following attributes of a connection link: packet loss, latency, signal jitter, etc. Also, the routes that the gateway distributes in some embodiments include routes that the edge devices distribute to the gateway, as well as routes that the gateway learns on its own.