A system incorporated in a slice-based network can implement a first virtual infrastructure manager (“VIM”) at a first region. The first VIM can be associated with a first internet protocol (“IP”) prefix range, and configured to receive a second IP prefix range associated with a second region having a second VIM. For compliance with requirements from a software license agreement (“SLA”), the first VIM can monitor a performance of a first virtual network function (“VNF”) of a network slice. In the event of a performance threshold violation, the first VIM can map portions of a workload associated with the violated threshold to the first region and the second region based on respective workload flow data associated with each of the first and second IP prefix ranges. The first VIM can instantiate a second VNF in the region having a workload portion that corresponds to a higher network resource consumption.

A system incorporated in a slice-based network can implement a first virtual infrastructure manager (“VIM”) at a first region. The first VIM can be associated with a first internet protocol (“IP”) prefix range, and configured to receive a second IP prefix range associated with a second region having a second VIM. For compliance with requirements from a software license agreement (“SLA”), the first VIM can monitor a performance of a first virtual network function (“VNF”) of a network slice. In the event of a performance threshold violation, the first VIM can map portions of a workload associated with the violated threshold to the first region and the second region based on respective workload flow data associated with each of the first and second IP prefix ranges. The first VIM can instantiate a second VNF in the region having a workload portion that corresponds to a higher network resource consumption.

A method, system, and computer program product for contextual generation of an ephemeral network are provided. The method detects an initiating event for network generation associated with a user of a first computing device. The method determines a duration of the initiating event. A set of network members is determined based on the initiating event and the duration. The method establishes an ephemeral network, connecting at least a portion of computing devices associated with the set of network members. The ephemeral network is terminated in response to detecting a completion event. In response to terminating the ephemeral network, member information for the set of network members is removed from the portion of the computing devices.

The embodiments of the disclosure provide a computer system, comprising a plurality of computing devices, each computing device comprising a storage unit and at least one computing unit which are connected in parallel, the plurality of computing devices being divided into a plurality of nodes, and the plurality of nodes forming a network topology; a communication device comprising an autonomous domain building module and a first communication module, the first communication module being configured for connecting the plurality of computing devices in a communication manner; and a task processing device comprising an addressing module and a task processing module. Therefore, the solution of the present disclosure meets the explosive demand of massive data and large amount computing power caused by artificial intelligence and blockchain to a certain extent.

The embodiments of the disclosure provide a computer system, comprising a plurality of computing devices, each computing device comprising a storage unit and at least one computing unit which are connected in parallel, the plurality of computing devices being divided into a plurality of nodes, and the plurality of nodes forming a network topology; a communication device comprising an autonomous domain building module and a first communication module, the first communication module being configured for connecting the plurality of computing devices in a communication manner; and a task processing device comprising an addressing module and a task processing module. Therefore, the solution of the present disclosure meets the explosive demand of massive data and large amount computing power caused by artificial intelligence and blockchain to a certain extent.

Disclosed in the embodiments of the present invention are an OAM message transmission method and transmission device, and a storage medium. The OAM message transmission method comprises: obtaining an OAM block generated on the basis of an OAM message; replacing an idle block in a data stream with the OAM block; and sending the data stream carrying the OAM block.

The present invention discloses a method and control system for monitoring plurality of equipment in industrial plant connected over SNMP based network. Each of plurality of equipment is associated with a server which is communicatively connected with client. One or more equipment which are capable of reporting monitoring objects are identified using a configuration file. Further, polling for monitoring objects based on capability data associated with one or more equipment is performed. Secure configuration of plurality of equipment in SNMP based network is achieved. Management of network traffic is performed. Unauthorized extraction of monitoring objects is reduced in the network.

The present invention discloses a method and control system for monitoring plurality of equipment in industrial plant connected over SNMP based network. Each of plurality of equipment is associated with a server which is communicatively connected with client. One or more equipment which are capable of reporting monitoring objects are identified using a configuration file. Further, polling for monitoring objects based on capability data associated with one or more equipment is performed. Secure configuration of plurality of equipment in SNMP based network is achieved. Management of network traffic is performed. Unauthorized extraction of monitoring objects is reduced in the network.

A third-party service may be used to assist entities in responding to requests of users by determining a suggested response to a received communication. The third party service may receive a request from a first entity, such as via an application programming interface request, that includes a message in a conversation. A conversation feature vector may be computed by processing the message with a first neural network. A suggested respond to the message may be determined by processing the conversation feature vector with a second neural network. The third-party service may then return the suggested response for use in the conversation. The third-party service may similarly be used to assist other entities in responding to requests of users.

A controller device manages a plurality of network devices. The controller device includes one or more processing units configured to receive an upgrade request; obtain a redundancy model indicating network device redundancies or service redundancies; determine, based on the upgrade request and the redundancy model, an update graph having nodes each representing one of the network devices or one of the services, the update graph also having at least one edge that connects two of the nodes and that indicates the network redundancy or the service redundancy; determine, based on the update graph including the at least one edge, an update schedule for performing an update of software for the network devices that ensures availability for the first network device or second network device or availability for the service; and update the software of each of the network devices according to the update schedule.