This disclosure describes techniques that include determining, at an egress node in an SRm6 network, how to process a packet that may arrive without a segment routing header and/or a compressed routing header. In one example, this disclosure describes a method that includes receiving, by an egress node of a segment routing network, segment routing advertisements; configuring, by the egress node and based on the segment routing advertisements, information enabling the egress node to recognize encapsulated packets arriving at the egress node without a compressed routing header; receiving, by the egress node, a packet that does not have a compressed routing header; and de-encapsulating, by the egress node and based on the stored information, the packet.

Described are embodiments for Ethernet header compression. A base station sends, to a wireless device, a radio resource control message including a packet data convergence protocol (PDCP) configuration parameter indicating Ethernet header compression for a data radio bearer. Based on the PDCP configuration parameter, the base station sends, to the wireless device, a message including: a source medium access control (MAC) address and a destination MAC address, and a header compression index corresponding to the source MAC address and the destination MAC address. The base station sends, to the wireless device, a compressed Ethernet packet: including a packet header being compressed based on the message; and including the corresponding header compression index.

Systems, devices and methods for adaptive compression of stored information includes a memory management computing device programmed to monitor a size of a plurality of data structures stored in a data repository. The computing device compares the size of each of a plurality of data structures to a predetermined threshold. When a size of an uncompressed data structure meets the threshold, the memory management computing device calculates a value of a first compression parameter based on a value of a first parameter and a value of a second parameter of each data element of the uncompressed data structure, calculates a value of a second compression parameter based the value of the first parameter of each data element of the uncompressed data structure, generates a compressed data structure based on the value of the first compression parameter and the second compression parameter; and replaces, in the data repository, the uncompressed data structure with the compressed data structure.

Systems, devices and methods for adaptive compression of stored information includes a memory management computing device programmed to monitor a size of a plurality of data structures stored in a data repository. The computing device compares the size of each of a plurality of data structures to a predetermined threshold. When a size of an uncompressed data structure meets the threshold, the memory management computing device calculates a value of a first compression parameter based on a value of a first parameter and a value of a second parameter of each data element of the uncompressed data structure, calculates a value of a second compression parameter based the value of the first parameter of each data element of the uncompressed data structure, generates a compressed data structure based on the value of the first compression parameter and the second compression parameter; and replaces, in the data repository, the uncompressed data structure with the compressed data structure.

A supercomputer, with traffic-modeling software and 5G/6G connectivity, can assist an autonomous vehicle in avoiding, or at least minimizing the expected harm of, an imminent collision. Upon detecting the imminent collision, the autonomous vehicle can transmit a message to an access point, requesting an uncontested direct communication link to the supercomputer, and then transfer sensor data and other traffic data to the supercomputer through the access point. The supercomputer can calculate a multitude of sequences of braking, steering, and accelerating actions of the autonomous vehicle, and can select the sequence that enables the autonomous vehicle to avoid the collision if possible. If all sequences cannot avoid the collision, the supercomputer can select the sequence that results in the least harm (fatalities, injuries, and property damage) in the unavoidable collision. The supercomputer relays the selected best sequence of actions through the access point to the autonomous vehicle, thereby mitigating the collision.

Technologies for filtering network traffic on ingress include a network interface controller (NIC) configured to parse a header of a network packet received by the NIC to extract data from a plurality of header fields of the header. The NIC is additionally configured to determine an input set based on the field vector, retrieve a matching list from a plurality of matching lists, and compare the input set to each of the plurality of rules to identify a matching rule of the plurality of rules that matches a corresponding portion of the input set. The NIC is further configured to perform an action on the network packet based on an actionable instruction associated with the one of the plurality of rules that matches the corresponding portion of the input set. Other embodiments are described herein.

Technologies for filtering network traffic on ingress include a network interface controller (NIC) configured to parse a header of a network packet received by the NIC to extract data from a plurality of header fields of the header. The NIC is additionally configured to determine an input set based on the field vector, retrieve a matching list from a plurality of matching lists, and compare the input set to each of the plurality of rules to identify a matching rule of the plurality of rules that matches a corresponding portion of the input set. The NIC is further configured to perform an action on the network packet based on an actionable instruction associated with the one of the plurality of rules that matches the corresponding portion of the input set. Other embodiments are described herein.

This application relates to a picture sharing method, a computer device, and a storage medium. The method includes: receiving a picture compressed in a first compression manner; obtaining characteristic information of the picture; compressing the picture in a second compression manner in a case that the characteristic information meets a compression trigger condition, to obtain a compressed picture; receiving a picture download request for the picture, wherein the second compression manner has a higher compression ratio than the first compression manner; and returning the compressed picture in response to the picture download request. The solutions of this application reduce a network bandwidth occupied in a picture feedback process.

This application relates to a picture sharing method, a computer device, and a storage medium. The method includes: receiving a picture compressed in a first compression manner; obtaining characteristic information of the picture; compressing the picture in a second compression manner in a case that the characteristic information meets a compression trigger condition, to obtain a compressed picture; receiving a picture download request for the picture, wherein the second compression manner has a higher compression ratio than the first compression manner; and returning the compressed picture in response to the picture download request. The solutions of this application reduce a network bandwidth occupied in a picture feedback process.

Provided by the present application are a data transmission method and device, which are used to solve the problem of being unable to accurately transmit an RRC message which is too large. The method comprises: when determining that the length of an original RRC message exceeds a preset threshold, compressing the original RRC message; packaging the compressed RRC message into a PDCP PDU; and sending the packaged PDCP PDU to a receiving end.