Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a program product implemented at an edge switch for data encryption. For example, the present disclosure provides a data encryption method implemented at an edge switch. The method may include receiving encryption and decryption information for an encryption operation or a decryption operation from a source device. In addition, the method may include encrypting a data packet received from the source device based on encryption information in the encryption and decryption information to generate an encrypted data packet. The method may further include sending the encrypted data packet to a target device indicated by the data packet. The embodiments of the present disclosure can reduce the computing loads of Internet of Things (IoT) devices, clouds, and servers while ensuring encryption performance, and can also reduce the time delay caused by encryption and decryption operations.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for processing data. The method includes: loading, at a switch and in response to receipt of a model loading request from a terminal device, a data processing model specified in the model loading request. The method further includes: acquiring model parameters of the data processing model from the terminal device. The method further includes: processing, in response to receipt of to-be-processed data from the terminal device, the data using the data processing model based on the model parameters. Through the method, data may be processed at a switch, which improves the efficiency of data processing and the utilization rate of computing resources, and reduces the delay of data processing.

Abstract: A method includes: receiving, by a repository server, requests for pulling images from a plurality of nodes, wherein an image requested to be pulled by a first node is a first image; detecting, by the repository server, that layers of a plurality of images requested to be pulled by the plurality of nodes all include a common layer; generating, by the repository server, a transmission path of data of the common layer, wherein the transmission path includes that the repository server transmits the data of the common layer to a second node, and the second node distributes the data of the common layer to other nodes; sending, by the repository server, setting information to the first node according to the transmission path; sending, by the repository server, the data of the common layer to the second node; and acquiring, by the first node, the data of the common layer from a third node according to the setting information.

Abstract: Embodiments of the present disclosure relate to a data read method, a data storage method, an electronic device, and a computer program product. The data read method includes: receiving a data read request, the data read request comprising a data identifier associated with target data; determining a storage device of the target data based on the data identifier; and acquiring the target data from the storage device based on the data identifier. The data storage method includes: receiving a data storage request, the data storage request comprising a data identifier associated with data to be stored; determining, based on the data identifier, a target storage device for the data to be stored; and storing, based on the data identifier, the data to be stored to the target storage device. With the technical solutions of the present disclosure, a named data network with good performance and efficient operation can be achieved.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product that involve address encryption. The method includes: in response to receiving a packet from a source device, extracting a first address representing an address of the source device from the packet. The method further includes: mixing the first address with a random number to generate a mixed address, wherein the number of bits of the first address is the same as the number of bits of the random number. The method further includes: encrypting the mixed address. Moreover, the method further includes: generating a second address representing the address of the source device at least partially based on the encrypted mixed address, wherein the second address includes a prefix field and an interface identifier field. Illustrative embodiments can improve the security of the source device, and reduce computational overhead during address encryption and decryption.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for implementing a blockchain system on a switch. The method includes establishing a first blockchain node and a second blockchain node on the switch, where the first blockchain node includes a first ingress port and a first egress port, and the second blockchain node includes a second ingress port and a second egress port. The method further includes receiving a broadcast or multicast request from a user device through a user port of the switch. The method further includes sending the broadcast or multicast request to the first ingress port of the first blockchain node and the second ingress port of the second blockchain node. Through the embodiments of the present disclosure, a blockchain system can be implemented on a switch, so as to reduce the latency of the blockchain system.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for managing an operating system. The method includes receiving a version upgrade request for the system. The method further includes using a target system image to upgrade the system from a first version to a second version corresponding to the target system image. The method further includes storing, in response to determining that the system operates normally within a first time period, the target system image to a first storage device for the system without updating a historical system image stored in a second storage device for the system, wherein the historical system image corresponds to the first version. In this way, by storing image files of different versions for selectively resetting the operating system in case of a failure, stability of the system after an upgrade is improved.

Abstract: Embodiments of the present disclosure provide a data processing method implemented at an edge switch, an electronic device, and a program product. For example, a data processing method implemented at an edge switch is provided. The method includes receiving at least two data packets for floating-point arithmetic operations from at least one source device. In addition, the method may include acquiring corresponding floating-point numerical sequences respectively from the at least two data packets; and acquiring a floating-point arithmetic method from at least one data packet of the at least two data packets to determine a floating-point arithmetic result of the corresponding floating-point numerical sequences. The method may further include sending the floating-point arithmetic result to a target device indicated by the at least one data packet of the at least two data packets.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for managing an operating system. The method includes receiving a version upgrade request for the system. The method further includes using a target system image to upgrade the system from a first version to a second version corresponding to the target system image. The method further includes storing, in response to determining that the system operates normally within a first time period, the target system image to a first storage device for the system without updating a historical system image stored in a second storage device for the system, wherein the historical system image corresponds to the first version. In this way, by storing image files of different versions for selectively resetting the operating system in case of a failure, stability of the system after an upgrade is improved.

Abstract: Embodiments of the present disclosure relate to a data read method, a data storage method, an electronic device, and a computer program product. The data read method includes: receiving a data read request, the data read request comprising a data identifier associated with target data; determining a storage device of the target data based on the data identifier; and acquiring the target data from the storage device based on the data identifier. The data storage method includes: receiving a data storage request, the data storage request comprising a data identifier associated with data to be stored; determining, based on the data identifier, a target storage device for the data to be stored; and storing, based on the data identifier, the data to be stored to the target storage device. With the technical solutions of the present disclosure, a named data network with good performance and efficient operation can be achieved.

Abstract: Embodiments of the present disclosure relate to a method for encryption and decryption, a programmable switch, and a computer program product. The method comprises receiving, at a programmable switch, encrypted data to be sent to a certain Internet of Things (IoT) device, wherein the encrypted data is encrypted using a public key of the programmable switch. The method further comprises decrypting the encrypted data using a private key of the programmable switch to obtain decrypted data, and then sending the decrypted data from the programmable switch to the IoT device. According to the embodiments of the present disclosure, the encryption and decryption operations of the IoT device can be transferred to the programmable switch for processing, and the programmable switch is used to help the IoT device perform encryption and decryption.

Abstract: A flame-retardant antimicrobial agent is a polymer microsphere with the surface grafted thereof with a guanidine salt. The polymer microsphere has a cross-linked structure composed of a structural unit A derived from maleic anhydride, a structural unit B derived from a monomer M, and a structural unit C derived from a cross-linking agent. The monomer M is selected from a C4-C9 aliphatic olefin or a mixture thereof, and the guanidine salt comprises at least one guanidine salt having the property of flame resistance. The flame-retardant antimicrobial agent has both a good antimicrobial effect and a good flame-retardant effect. A flame-retardant antimicrobial thermoplastic resin composition containing the flame-retardant antimicrobial agent also has a good flame-retardant and antimicrobial performance and a good overall performance.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a program product implemented at an edge switch for data encryption. For example, the present disclosure provides a data encryption method implemented at an edge switch. The method may include receiving encryption and decryption information for an encryption operation or a decryption operation from a source device. In addition, the method may include encrypting a data packet received from the source device based on encryption information in the encryption and decryption information to generate an encrypted data packet. The method may further include sending the encrypted data packet to a target device indicated by the data packet. The embodiments of the present disclosure can reduce the computing loads of Internet of Things (IoT) devices, clouds, and servers while ensuring encryption performance, and can also reduce the time delay caused by encryption and decryption operations.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, a first network state representation and a first content request event of an emulated network are provided from an emulator to an agent for reinforcement learning, wherein the first content request event indicates that a request node in the emulated network requests target content stored in a source node. The emulator receives first action information from the agent, wherein the first action information indicates a first caching action determined by the agent, the first caching action including caching the target content in at least one caching node between the request node and the source node. The emulator collects, based on the execution of the first caching action in the emulated network, first training data for training the agent.

Abstract: Embodiments of the present disclosure provide a method, a device, and a computer program product for edge resource aggregation. In one embodiment, a second edge device to which data associated with a first edge device will be transmitted is determined in an edge device cluster. Then, the data associated with the first edge device is transmitted to the second edge device. In this way, resources of multiple edge devices may be aggregated, thereby improving network efficiency and stability.

Abstract: Embodiments of the present invention disclose a virtual network device. The virtual network device is configured to implement a broadband network gateway BNG function, and the virtual network device includes a load balance unit and a first forwarding unit; the load balance unit is configured to: receive a first data packet from a first user terminal, determine the first forwarding unit according to the first data packet and a first correspondence, and send the first data packet to the first forwarding unit, where the first correspondence indicates mapping from the first user terminal to the first forwarding unit; and the first forwarding unit is configured to receive and forward the first data packet. In addition, the embodiments of the present invention further disclose a method for implementing load sharing in a virtual network device.

Abstract: Embodiments of the present disclosure relate to a model training method, a data processing method, an electronic device, and a computer program product. The method includes: acquiring storage information associated with a simulated network environment; and training a reinforcement learning model using simulated data and based on a simulated-data read request for a node among multiple nodes included in the simulated network environment and each having a cache. With the technical solutions of the present disclosure, the cache allocation and cache replacement problems can be simultaneously solved by using a reinforcement learning model to determine in a dynamic environment a data caching scheme that meets predetermined criteria, so that it is possible to not only improve the accuracy and efficiency of determining the data caching scheme with less cost overhead, but also improve the user experience of users using the caching system.

Abstract: Embodiments of the present disclosure provide a method, a device, and a computer program product for edge resource aggregation. In one embodiment, a second edge device to which data associated with a first edge device will be transmitted is determined in an edge device cluster. Then, the data associated with the first edge device is transmitted to the second edge device. In this way, resources of multiple edge devices may be aggregated, thereby improving network efficiency and stability.