Abstract:
A network service processing method and apparatus are provided. The method includes: partitioning a field-programmable gate array (FPGA) or a network processor (NP) into multiple mutually isolated service processing resources; receiving a first configuration instruction, where the first configuration instruction includes a first service configuration execution file; performing service configuration on a service processing resource according to the first service configuration execution file, so that the service processing resource performs service processing on a to-be-processed service packet; receiving a forwarding rule used when service forwarding is to be performed on the to-be-processed service packet; and receiving the to-be-processed service packet sent by a user terminal, and distributing the to-be-processed service packet to the service processing resource by using the forwarding rule, so that the service processing resource performs service processing on the to-be-processed service packet.
Abstract:
Embodiments of the present invention provide a transmission control protocol TCP data transmission method, a TCP offload engine, and a system, which relate to the field of communications, and can reduce data migration between the TCP offload engine and a CPU, and at the same time reduce parsing work on data by the CPU, so as to achieve the effects of reducing resources of the CPU for processing TCP/IP data and reducing transmission delay. The method includes: a TCP offload engine receives TCP data sent by a remote device; performs TCP offloading on the TCP data; identifies the TCP offloaded data, and sends, according to an identification result, the TCP offloaded data to a CPU or a storage device corresponding to storage position information issued by the CPU. The embodiments of the present invention are applicable to TCP data transmission.
Abstract:
A method for implementing model update is provided and used in a federated update framework. The method includes: a service device receives difference information uploaded by at least two clients. The service device performs calculation based on the difference information uploaded by the at least two clients, to obtain first difference consistency information, where the first difference consistency information indicates a consistency degree of the difference information uploaded by the at least two clients. The service device performs calculation based on the first difference consistency information, to obtain first training information, where the first training information is used to train a third model, and the third model is obtained by updating the first model by the service device based on the difference information uploaded by the at least two clients. The service device sends the first training information to the at least two clients.