Disclosed herein are system, method, and computer program product embodiments for management and monitoring of a blockchain network. An embodiment operates by configuring a node within a blockchain network to determine metadata about the blockchain network, wherein the blockchain network maintains a blockchain. The metadata is generated at the node, and provided to a solution manager. Using such a solution manager, it is possible to monitor, alert, and even react to changing conditions within the blockchain network.

Efficient scaling of in-network compute operations to large numbers of compute nodes is disclosed. Each compute node is connected to a same plurality of network compute nodes, such as compute-enabled network switches. Compute processes at the compute nodes generate local gradients or other vectors by, for instance, performing a forward pass on a neural network. Each vector comprises values for a same set of vector elements. Each network compute node is assigned to, based on the local vectors, reduce vector data for a different a subset of the vector elements. Each network compute node returns a result chunk for the elements it processed back to each of the compute nodes, whereby each compute node receives the full result vector. This configuration may, in some embodiments, reduce buffering, processing, and/or other resource requirements for the network compute node or network at large.

Technology for providing peer-to-peer (P2P) content distribution via a P2P applications server is disclosed. In an example, service control function (SCF) module can be operable for P2P content distribution and include computer circuitry configured to host P2P applications server operable to manage Internet protocol (IP) multimedia subsystem (IMS) content distribution between two user equipments (UEs).

Aspects discussed herein relate to systems, apparatuses, and methods for providing content distribution via a breadth-first approach for peer-to-peer file sharing in a temporary ad hoc mesh network. For example, a peer-to-peer orchestrator may receive requests for the same asset from multiple mobile devices, determine which of the mobile devices are likely to travel along the same route at the same time, group them together and cause transmission of different asset parts of the requested asset to different mobile devices in the group. If the mobile devices in the group lose connection with the peer-to-peer orchestrator, they may form an ad hock mesh network and retrieve asset parts from one another. If the group reconnects with a peer-to-peer orchestrator, additional asset parts of the asset may be transmitted to the group and the process may repeat so that each mobile device may obtain each of the asset parts.

A network device includes a processor and a memory. The processor effectuates operations including instantiating an edge share orchestrator that identifies edge devices including a customer device. Edge share orchestrator also determines that the customer device lacks computing power or functionality to perform at least a portion of an existing or augmented service and identifies at least one additional device of the edge devices capable of providing additional computing power or functionality for performing the at least a portion of the existing service or augmented service associated with the customer device. Edge share orchestrator also meshes the additional computing power or functionality of the at least one additional device with the customer device and performs the at least a portion of the existing or augmented service associated with the customer device using the meshed additional computing power or functionality of the at least one additional device and the customer device.

The predictive overlay network architecture of the present invention improves the performance of applications distributing digital content among nodes of an underlying network such as the Internet by establishing and reconfiguring overlay network topologies over which associated content items are distributed. The present invention addresses not only frequently changing network congestion, but also interdependencies among nodes and links of prospective overlay network topologies. The present invention provides a prediction engine that monitors metrics and predicts the relay capacity of individual nodes and links (as well as demand of destination nodes) over time to reflect the extent to which the relaying of content among the nodes of an overlay network will be impacted by (current or future) underlying network congestion. The present invention further provides a topology selector that addresses node and link interdependencies while redistributing excess capacity to determine an overlay network topology that satisfies application-specific performance criteria.

The invention relates to method and devices of enabling determination of overall Quality of Service (QoS) of at least one Internet of Things (IoT) device. In an aspect of the invention, a method of a network node (10a) is provided of enabling determining of an overall QoS of at least one IoT device. The method comprises transmitting (S101), to a device connectivity middleware (DCM) node (14), an identifier of said at least one IoT device (11a) for which a QoS measure is to be acquired, receiving (S102), from the DCM node (14), a network profile of the IoT device (11a) associated with said identifier, transmitting (S103), to a Service Capability Exposure Function (SCEF, 15), a request for the QoS measure of the IoT device (11a) for the received network profile, the SCEF (15) acquiring the QoS measure from a Policy and Charging Control (PCC) function (16), receiving (S106), from the SCEF, the requested QoS measure of the IoT device (11a), transmitting (S107), to a Lightweight Machine-to-Machine (LWM2M) device (13), a request for availability information for said at least one IoT device (10a), and receiving (S108), from the LWM2M device (13), the requested availability information, wherein the received QoS measure and the availability information is taken into account for determining the overall QoS of said at least one IoT device (11a).

Methods and apparatuses for determining whether to perform transmissions or receptions. A method for a user equipment (UE) to determine whether to perform the transmissions includes receiving a n for a search space set for receptions of physical downlink control channels (PDCCHs) according to a common search space (CSS) and receiving a PDCCH that includes a downlink control information (DCI) format. The method includes determining a set of time resources and a set of frequency resources based on an indication in the DCI format and canceling a transmission of a sounding reference signal (SRS) in time resources from the set of time resources based on determining that the SRS transmission would include frequency resources from the set of frequency resources. The method includes transmitting a physical uplink control channel in time resources from the set of time resources and in frequency resources from the set of frequency resources.

One or more embodiments of this specification provide methods and apparatuses for transmitting messages. A method includes: determining a blockchain message from two or more message queues stored in a relay node in a blockchain relay communication network based on a message transmission policy, the message transmission policy being configured to transmit blockchain messages in the blockchain relay communication network based upon a priority identifier representing a priority of a blockchain message to be transmitted in the blockchain relay communication network; obtaining identifier from the blockchain message, and determining one or more target blockchain nodes in the blockchain relay communication network corresponding to the identifier; determining a target relay node connected to the one or more target blockchain nodes in the blockchain relay communication network; and transmitting the blockchain message to the one or more target blockchain nodes through the target relay node.

As described herein, a system, method, and computer program are provided for Internet of Things (IoT) community services. In use, a platform of an IoT network is provided to a plurality of IoT devices of the IoT network, where the platform has one or more services accessible to the plurality of IoT devices. Further, the platform executes the one or more services to enhance functionality of the plurality of IoT devices.