Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

Embodiments of a device and method are disclosed. In an embodiment, a method of automatic network service initiation involves pairing a first network device of a network service block (NSB) with an installer device at a customer site, at the first network device of the NSB, obtaining first network service configuration information from the installer device, performing automatic network service initiation of the first network device of the NSB based on the first network service configuration information, at a second network device of the NSB that is connected with the first network device of the NSB, obtaining address information of a cloud server from the first network device of the NSB, at the second network device of the NSB, obtaining second network service configuration information from the cloud server based on the address information, and performing automatic network service initiation of the second network device of the NSB based on the second network service configuration information.

A method for controlling deployment of network configuration changes includes receiving, by centralized network management system executed by a processor and memory, configuration change instructions to alter a configuration of a network; computing, by the centralized network management system, a weighted impact of the configuration change instructions; determining, by the centralized network management system, whether the weighted impact of the configuration change instructions exceeds a threshold impact level; and in response to determining that the weighted impact does not exceed the threshold impact level, executing the configuration change instructions.

Automatic network configuration includes obtaining, by a virtual private network service provider infrastructure system, ranking data for data transport pathways between the virtual private network service provider infrastructure system and an external system, wherein a respective data transport pathway from the data transport pathways includes a respective exit node in the virtual private network service provider infrastructure system in communication with a respective entry node in the external system, wherein obtaining the ranking data includes obtaining at least a portion of the ranking data by testing a service provided by the external system via the entry node, and allocating, by the virtual private network service provider infrastructure system, a data transport pathway from the data transport pathways to a communication session, wherein the data transport pathway is a highest-ranking data transport pathway in the ranking data.

Systems and methods include a computer-implemented method for displaying future trends of evaporation pond wastewater quantity and quality. A distributed float network is managed using a wastewater evaporation pond management (WEPM) system with an embedded supervisory control and data acquisition (SCADA) system. The WEPM collects data, including sensory information, from evaporation ponds. A configuration data upload for remote terminal units (RTUs) managed by the WEPM is automated using the WEPM system and the embedded SCADA system. Evaporation pond wastewater quantity and quality and adherence to environmental standards and regulations are monitored using the WEPM system. Environmental compliance data is collected from the distributed float network. The environmental compliance data collected from the distributed float network managed by the WEPM system is analyzed. A dashboard is provided displaying future trends of the evaporation ponds wastewater quantity and quality.

The present disclosure is directed to techniques for streamlining the process of configuring IoT devices during their onboarding to a network by eliminating the need for pre-provisioning IoT devices with zero-touch deployment (ZTD) specific configurations during manufacturing. In one aspect, a method includes receiving, from an IoT device connected to a ZTD service, a message for establishing a connection to the ZTD service; provisioning, at the zero-touch deployment service, the IoT device with ZTD specific configurations; and completing, at the zero-touch deployment service, initial bootstrapping of the IoT device to establish the connection to the ZTD service using the ZTD specific configurations.

In general, embodiments described herein relate to methods and systems for automating the configuration of network devices. More specifically, embodiments of the invention relate to using configuration commands that specify protocol-specified relationships in order to generate granular (or specific) filtering rules (also referred to as rules). The rules are subsequently programmed into the network device.

A control device having an integrated switch and being configured to logically enable and disable an Ethernet port of the integrated switch. Further disclosed is a device network consisting of at least two field devices, a primary control device and a primary switch, a secondary control device and a secondary switch, which are connected in a daisy chain loop topology. And wherein the secondary control device is configured to logically enable and disable an Ethernet port of the secondary switch. Further disclosed is a flat network consisting of such a device network. Further disclosed is a method for controlling a redundant connection in a flat network, consisting of detecting failure of the primary control device, initiating failover, enabling the Ethernet port of the secondary switch, and disabling the Ethernet port of the primary switch.

A high performance computing environment includes a plurality of computing resources, a plurality of tenant clouds organized from the plurality of computing resources, and an Infrastructure as a Service resource manager. The Infrastructure as a Service resource manager further includes a plurality of Infrastructure as a Service system interfaces and a portal. In operation, a cloud user interacts over a secure link and through the portal with the Infrastructure as a Service system interfaces to perform cloud tasks relative to a particular one of a plurality of tenant clouds of the high performance computing environment.

This application relates to the field of communications technologies, and discloses a network parameter (for example, an ECN threshold) configuration method and an apparatus, to dynamically configure a network parameter based on a change of a network transmission characteristic, so that the network parameter is dynamically adapted to a change of network traffic, thereby ensuring network transmission performance. The method includes: obtaining network statistical data corresponding to a first period, where the network statistical data includes a network transmission characteristic of a network device in the first period and a first value corresponding to a specified network parameter; determining, based on the network statistical data, a second value corresponding to the specified network parameter; and configuring the specified network parameter of the network device in a second period to the second value, where the second period is a period after the first period.