Patent classifications
H04L67/1023
Multi-access edge computing low latency information services
A multi-access edge computing (MEC) platform may receive an indication that a user device has downloaded a MEC application client associated with a MEC application and may send, to the user device, instructions to install a device client. The device client may transmit device information associated with the user device to the MEC platform. The MEC platform may receive the device information associated with the user device and determine, based on the received device information, performance information associated with the MEC application.
AUTOMATED SERVER WORKLOAD MANAGEMENT USING MACHINE LEARNING
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.
AUTOMATED SERVER WORKLOAD MANAGEMENT USING MACHINE LEARNING
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.
Re-selection of a network function instance based on data consistency
The present invention faces the issues of re-selection of another NF Service instance (103, 201) for a subsequent request (S-520, S-535) with a same data consistency (Consistency 1) as a previously selected NF Service instance (101). To solve this issue, the present invention provides for identifying at configuration, based on the deployment and on the Storage solution for the Session/context data, which instances (101, 103, 201) of the same service type have access with strong consistency to the same data, and provide this information to the consumer (40), so it is allowed to prioritize selection of an alternative NF service instance that supports strong consistency, whenever possible.
SYSTEMS AND METHODS FOR AUTOMATED, CONTROLLERLESS AND STATELESS NETWORK CONNECTION SELECTION BASED ON DISTRIBUTED SERVER INFORMATION
The invention is that of systems and methods for controllerless and distributed network connections to servers on a network by remote clients seeking their services. The invention comprises a central database where servers within a server group identified by a group name may post unique identifiers (UIDs) for retrieval and reposting by group clients configured with the group name, which may query the central database for server connection information such as uptime, downtime, and congestion in order to select a server for a preferential connection based on an overall posture as determined by the group client. In some embodiments, one server of the group is a “dummy server” that may aggregate and selectively transmit server information from other servers in the group, or other devices, and post it to the central database. The methods described herein eliminate a separate controller and thereby a single point of failure (SPOF).
SYSTEMS AND METHODS FOR AUTOMATED, CONTROLLERLESS AND STATELESS NETWORK CONNECTION SELECTION BASED ON DISTRIBUTED SERVER INFORMATION
The invention is that of systems and methods for controllerless and distributed network connections to servers on a network by remote clients seeking their services. The invention comprises a central database where servers within a server group identified by a group name may post unique identifiers (UIDs) for retrieval by group clients configured with the group name, which may query the central database for server connection information such as uptime, downtime, and congestion in order to select a server for a preferential connection based on an overall availability profile as determined by the group client. In some embodiments, one server of the group is a “dummy server” that may aggregate and selectively transmit server information from other servers in the group, or other devices, and posts it to the central database for client access. The methods described herein eliminate a separate controller and thereby a single point of failure (SPOF).
Method, apparatus, and system for load balancing of service chain
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.
Method, apparatus, and system for load balancing of service chain
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.
Enhanced self-assembling and self-configuring microservices
A method for managing systems with interrelated microservices with self-assembling and self-configuring microservices includes receiving at a first micro service a service request from a client. A determination is the made whether the first micro service is capable of processing the service request. If the first micro service is capable of processing the service requests, then processing the service request; if the first micro service cannot process the service request then routing the service request to a first stem service. The first stem service determines whether there is a second micro service that can process the service request. If the second micro service that can process the service requests exists, then forwarding the service request to the second micro service for processing. If there is no second micro service that can service the service requests then morphing the first stem service into a micro service that can service the service request.
METHOD FOR OPERATING A DISTRIBUTED APPLICATION
A method for operating a distributed application includes: transmitting, by an application frontend, an initialization request to a registration server via a communication network; selecting, by the registration server, an instance of an application backend and transmitting a fully qualified domain name of the selected instance to the application frontend; transmitting, by the application frontend, a lookup request to a domain name server; transmitting, by the domain name server, an IP address associated with the fully qualified domain name to the application frontend; transmitting, by the application frontend, application data to the transmitted IP address via a connection provided by the communication network; selecting, by a core server of the communication network, a quality service for the distributed application; applying, by the communication network, a service quality determined by the selected quality service to the connection; and operating, by the distributed application, with the applied service quality.