Systems and techniques to facilitate the token mining procedures are illustrated. One embodiment includes a method for reaching consensus in token mining. The method receives a challenge and a computed graph, wherein the computed graph comprises a plurality of nodes. The method stores a portion of the computed graph, wherein the portion comprises a subset of the plurality of nodes. The method generates a Merkle tree based on the computed graph, wherein a root of the Merkle tree is registered. The method determines a challenge value based on the challenge. The method obtains a first node and a second node from the portion of the computed graph, wherein the first and second nodes are based on the challenge value. The method transmits a portion of the Merkle tree corresponding to the first node and the second node.

Systems and techniques to facilitate the token mining procedures are illustrated. One embodiment includes a method for reaching consensus in token mining. The method receives a challenge and a computed graph, wherein the computed graph comprises a plurality of nodes. The method stores a portion of the computed graph, wherein the portion comprises a subset of the plurality of nodes. The method generates a Merkle tree based on the computed graph, wherein a root of the Merkle tree is registered. The method determines a challenge value based on the challenge. The method obtains a first node and a second node from the portion of the computed graph, wherein the first and second nodes are based on the challenge value. The method transmits a portion of the Merkle tree corresponding to the first node and the second node.

An example system includes an access network intelligent controller comprising processing circuitry configured to communicate with a 3GPP access network control function and a non-3GPP access network control function. The non-3GPP access network control function comprises a first plurality of controllable functions. The 3GPP access network control function comprises a second plurality of controllable functions. The access network intelligent controller is configured to execute one or more applications, each application of the one or more applications configured to: issue a subscription request for a subscription to a first controllable function of the first plurality of controllable functions of the non-3GPP access network control function or a second controllable function of the second plurality of controllable functions of the 3GPP access network control function, and exchange messages with the first controllable function or the second controllable function in accordance with the subscription.

A method of generating a synthetic network includes receiving, by a group structure identification module, anonymized input data related to an original network. The anonymized input data includes an anonymized list of nodes, a list of edges and a list of groups. The method further includes determining, by the group structure identification module, for each pair of nodes, a probability of an edge between the pair of nodes. A resulting list of probabilities corresponds to a summary group structure. The method further includes generating, by a synthetic random network generation module, at least one synthetic random network based, at least in part, on the determined probabilities.

A method of generating a synthetic network includes receiving, by a group structure identification module, anonymized input data related to an original network. The anonymized input data includes an anonymized list of nodes, a list of edges and a list of groups. The method further includes determining, by the group structure identification module, for each pair of nodes, a probability of an edge between the pair of nodes. A resulting list of probabilities corresponds to a summary group structure. The method further includes generating, by a synthetic random network generation module, at least one synthetic random network based, at least in part, on the determined probabilities.

Provided is a process of autonomous distributed workload and infrastructure scheduling based on physical telemetry data of a plurality of different data centers executing a plurality of different workload distributed applications on behalf of a plurality of different tenants.

Provided is a process of autonomous distributed workload and infrastructure scheduling based on physical telemetry data of a plurality of different data centers executing a plurality of different workload distributed applications on behalf of a plurality of different tenants.

Computing resources are managed in a computing environment comprising a computing service provider and an edge computing network. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to remote users of the computing service provider. The edge computing network collects capacity and usage data for computing and network resources at the edge computing network. The capacity and usage data is sent to the computing service provider. Based on the capacity and usage data, the computing service provider, using a cost function, determines a distribution of workloads pertaining to a processing pipeline that has been partitioned into the workloads. The workloads can be executed at the computing service provider or the edge computing network.

A system, method and apparatus for augmenting a building control system domain. A sensor network platform can be configured to collect data based on measurements from sensors outside of a legacy building control system domain, and to present information based on the collected data to a known interface supported by the legacy building control system. In one embodiment, the collected data can undergo customized processing by an operation center outside of the legacy building control system domain.

A system, method and apparatus for augmenting a building control system domain. A sensor network platform can be configured to collect data based on measurements from sensors outside of a legacy building control system domain, and to present information based on the collected data to a known interface supported by the legacy building control system. In one embodiment, the collected data can undergo customized processing by an operation center outside of the legacy building control system domain.