Abstract:
The present technology discloses storing data in a peer-to-peer network. A first computing device identifies other computing devices in the peer-to-peer network. Each of the computing devices have an established social relationship with at least another one of the computing devices. A degree of connection between the first computing device and each of the other computing devices is detected. A group of the other of computing devices is selected based on the degree of connection for storing the data, and a storage trust level is assigned to each of the other computing devices in the group. The storage trust level of each of the other computing devices is based on the established social relationship. The data is then transmitted to each of the other computing devices in the group for storage.
Abstract:
An electronic device includes a memory; and a processor coupled to the memory and configured to receive instructions from the memory which, when executed by the processor, cause the electronic device to transmit first data associated with a first blockchain to a second application; receive second data associated with a second blockchain from the second application; transmit the first data to a middleware smart contract; perform a first blockchain function using the first data and the second data to obtain a first result; receive third data from the middleware smart contract in response to transmission of the first data to the middleware smart contract; trust the middleware smart contract when the first result and third data match; and generate an alert when the first result and the third data do not match.
Abstract:
The present technology discloses communication in a communications network. A source node receives a media file from a client device in the communications network. Contextual information in the file is obtained that is descriptive of content in the medial file. When a match to the media file is found, the contextual information is accessed from storage. Otherwise, the contextual information is generated by the source node by extracting attributes from metadata in the media file. The media file is then transmitted over a first data path, and the contextual information is transmitted over a second data path, where the first data path has a higher latency than the second data path such that the contextual information arrives at the destination node prior to the media file.
Abstract:
A method of training a large neural network using a number of pre-trained smaller neural networks. Multiple pre-existing, pre-trained neural networks are used to create the large neural network using multi-level superposition. The pre-trained neural networks, each having a first number of multi-dimensional nodes, are each up-scaled to provide larger, sparse neural networks. The values of the larger, sparse neural networks are superpositioned into the larger neural network. The pre-trained neural networks may be created from publicly available, pre-trained neural networks. The larger neural network can be adapted for use in a different task by replacing and/or re-training one of the sub-networks used to create the large neural network.
Abstract:
Embodiments of the present invention provide a channel state information obtaining method and a device, where the method includes: determining, by a base station according to radio resource usage, a special timeslot in a frequency range used for downlink data transmission; sending special-timeslot configuration information to user equipment, where the special-timeslot configuration information is used to configure the user equipment to send the uplink physical signal over a downlink frequency band in the special timeslot; and performing channel estimation according to the uplink physical signal after receiving the uplink physical signal sent by the user equipment, to obtain channel state information. Compared with a technical solution in the prior art in which user equipment obtains channel state information and then feeds back the channel state information to a base station, system overheads caused in obtaining, by the base station, the channel state information are reduced.
Abstract:
A primary node-standby node data transmission method includes an indication that a control node obtains an operation log generated by a primary node, where the operation log includes at least one operation record, and each operation record indicates a record of performing, by the primary node, a write operation on a local cache or a storage unit in a storage device. The method further includes the control node determining a first storage unit set that corresponds to a first standby node, the control node determining a second storage unit set that corresponds to the at least one operation record, the control node obtaining an operation record from the operation log, and the control node sending the corresponding operation record to the first standby node, where the storage unit intersection set is an intersection set of storage units in the first storage unit set and the second storage unit set.
Abstract:
A network detection method and apparatus are provided. The method includes: obtaining parsed data of one or more target network performance indicators, where the parsed data of each target network performance indicator includes measured values corresponding to the target network performance indicator at a plurality of collection time points; analyzing the parsed data, to obtain a plurality of data sequences, where each data sequence includes a plurality of measured values corresponding to a target network performance indicator; determining an abnormal collection time point or an abnormal data sequence based on the plurality of data sequences; and determining that a network performance indicator corresponding to the abnormal collection time point or the abnormal data sequence is an abnormal network performance indicator.
Abstract:
Embodiments of the present invention provide a system architecture, a subsystem, and a method for opening a telecommunications network capability, where the system includes: an API open subsystem, a telecommunications network subsystem, and a third-party subsystem. A first interface exists between the telecommunications network subsystem and the API open subsystem, and a second interface exists between the API open subsystem and the third-party subsystem; the telecommunications network subsystem is configured to provide a telecommunications network capability for the API open subsystem; the API open subsystem is configured to operate and manage opening of the telecommunications network capability and provide an API of the telecommunications network capability for the third-party subsystem; and the third-party subsystem is configured to invoke, on the API open subsystem, the API of the telecommunications network capability.
Abstract:
A method and an apparatus for configuring a channel resource, a base station, and a user equipment are disclosed. The method includes: determining load information of a cell; according to the load information, that the cell reaches a congested state, configuring channel resource configuration information for a new user equipment accessing the cell, where the configuration information includes: a first DPCH Pilot bit transmit power offset and/or a first number of pilot bits, the first DPCH Pilot bit transmit power offset is smaller than a power offset configured for a user equipment in a non-congested state, and the first number of Pilot bits is smaller than a number of Pilot bits that is configured for a user equipment in a non-congested state, and sending the configuration information to the new user equipment. The method can improve downlink throughput of the cell and reducing a call drop rate.
Abstract:
The disclosed systems and methods for extracting a subtree structure from a YANG schema, the YANG schema comprising one or more YANG models, being a ramified hierarchical structure defining a plurality of nodes and relationships among the plurality of nodes and being representable under the form of a tree structure. The method comprises receiving the YANG schema and a set of extraction instructions, the extraction instructions comprising indication of one or more first nodes to be extracted from the YANG model. The one or more first nodes are further added to a set of nodes to be extracted. The method comprises executing an iterative identification process to update the set of nodes to be extracted, and further generating a trimmed YANG model based on the set of nodes to be extracted.