A software defined networking (SDN) controller for a communication network is provided. The SDN controller includes a northbound interface, a southbound interface, and a database as a service (DBaaS) layer. The northbound interface includes an application layer having one or more independent SDN applications. The southbound interface includes an adapter layer having one or more independent device adapters. The DBaaS layer includes a persistent DBaaS unit and a state DBaaS unit.

This application provides wireless communications configuration methods and apparatuses. One method includes: receiving, by a service node of a server, a first packet sent by a client device, wherein a destination address of the first packet is an internet protocol (IP) address of the server; sending, by the service node, a second packet to the client device, wherein the second packet comprises the IP address of the service node; and receiving, by the service node, a third packet sent by the client device, wherein a destination address of the third packet is the IP address of the service node that is different from the destination address of the first packet.

A computing environment includes a computing service provider and an edge computing network that has computing and storage devices that extend computing resources of the computing service provider to remote users. An edge platform is configured to execute industry specific PaaS services and industry specific third-party applications. The edge platform communicates with an IoT edge service, inference engine, and IoT edge gateway that performs protocol conversion. The industry edge platform provides a standardized platform for enabling execution of the industry specific PaaS services and industry specific third-party applications.

A method, an apparatus, and a system are provided for load balancing of a service chain. The method includes: receiving, by a flow classifier, a service chain selection and control policy sent by a policy and charging rules function (PCRF) unit; hashing, by the flow classifier according to a hash quantity, a service flow corresponding to a service chain identifier, to obtain multiple subflows, and adding the service chain identifier and hashing factors to packets of the subflows, where different subflows correspond to different hashing factors; and sending, by the flow classifier, the packets of the subflows after the service chain identifier and the hashing factors are added, to a forwarding device.

A method, an apparatus, and a system are provided for load balancing of a service chain. The method includes: receiving, by a flow classifier, a service chain selection and control policy sent by a policy and charging rules function (PCRF) unit; hashing, by the flow classifier according to a hash quantity, a service flow corresponding to a service chain identifier, to obtain multiple subflows, and adding the service chain identifier and hashing factors to packets of the subflows, where different subflows correspond to different hashing factors; and sending, by the flow classifier, the packets of the subflows after the service chain identifier and the hashing factors are added, to a forwarding device.

An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

An example method includes storing healthcare information related to a patient on the cloud-based clinical information system and determining if a first local information system of a first healthcare entity includes a first existing patient record associated with the patient. The example method also includes communicating a first command from the cloud-based clinical information system to an edge device located at a facility associated with the first healthcare entity and in communication with the first local information system. The edge device is to automatically attach a first portion of the healthcare information to the first existing patient record if the first local information system includes the first existing patient record or automatically generate a first new patient record to be populated by the first portion of the healthcare information if the first local information system does not include the first existing patient record based on the first command.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

Techniques are disclosed relating to implementing inter-application communication in a peer-to-peer fashion via a lease-based central registry. The central registry is configured to maintain application-layer routing information and to perform load balancing of the inter-application communication. A first application of a plurality of applications may send a lease request identifying the second application to the central registry. The first application receives a lease response that identifies a specific instance of a second application within a plurality of computing nodes and includes a resource allocation defining one or more limits on inter-application communication that the first application is permitted to perform with the specific instance of the second application. Based at least in part on the lease response, the first application performs inter-application communication directly with the specific instance of the second application subject to the one or more limits without requiring routing of the inter-application communication by another entity.