A cloud service provider network may receive, from a cloud subscriber device, a request to access an application, wherein the cloud service provider network includes a split interface associated with the cloud subscriber device. The cloud service provider network may provide, to the cloud operator device, the request to access the application, wherein the cloud operator device stores the application. The cloud service provider network may receive, from the cloud operator device, the application, based on the request to access the application. The cloud service provider network may provide the application to the cloud subscriber device via the application interface of the split interface, wherein the connectivity interface connects the cloud subscriber device and the cloud operator device so that the application is provided to the cloud subscriber device via the application interface.

Techniques for implementing an infrastructure orchestration service are described. In some examples, a declarative provisioner of the infrastructure orchestration service receives instructions for deployment of a resource. The declarative provisioner identifies that the deployment of the resource is a long-running task stores state information corresponding to the deployment of the resource. In certain embodiments, upon identifying that the deployment of the resource is a long-running task, the declarative provisioner pauses its execution of the long-running task. Responsive to a trigger received from the infrastructure orchestration service, the declarative provisioner resumes execution of the deployment of the resource using the state information and transmits deployment information corresponding to the deployment of the resource to the infrastructure orchestration service.

A method of authenticating a device management system of a cloud-managed network includes transmitting a first transmission signal, from an access point, to a secondary port of the device management system. The first transmission signal comprises a first request of the access point to connect to the cloud-managed network. When the access point is incompatible with the cloud-managed network, the access point receives a re-direction instruction from the device management system to redirect the access point to a predefined Internet address to provide compatibility data for the access point. The method further includes that in response to receiving the compatibility data, transmitting a second transmission signal to the secondary port that includes a second request to connect to the cloud-managed network. The method include that in response to authentication by the access point, receiving an instruction from the secondary port to connect via a primary port to the cloud-managed network.

State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and co-ordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Systems, computer program products, and methods are described herein for real-time distributed communication channel and multiple data processing channel selection. The present invention is configured to receive, from a first user input device via a first communication channel, a request to access resources; retrieve connectivity and routing parameters associated with the first communication channel; determine communication channel requirements associated with the request to access the resources; determine that the connectivity and routing parameters associated with the first communication channel does not meet the communication channel requirements associated with the request to access the resources; capture geographic information associated with the first user input device; determine a second communication channel available to the first user input device to access the resources; and authorize the first user input device to access the resources via the second communication channel.

Techniques for operationalizing workloads at edge network nodes, while maintaining centralized intent and policy controls. The techniques may include storing, in a cloud-computing network, a workload image that includes a function capability. The techniques may also include receiving, at the cloud-computing network, a networking policy associated with an enterprise network. Based at least in part on the networking policy, a determination may be made at the cloud-computing network that the function capability is to be operationalized on an edge device of the enterprise network. The techniques may also include sending the workload image to the edge device to be installed on the edge device to operationalize the function capability. In some examples, the function capability may be a security function capability (e.g., proxy, firewall, etc.), a routing function capability (e.g., network address translation, load balancing, etc.), or any other function capability.

Systems and methods described herein support compartment quotas in a cloud infrastructure environment. Cloud administrators do not generally have the ability to restrict resource usage in existing clouds. Granting a user permission to create resources allows them to create any number of resources up to a predefined account limit. Compartment quotas allow admins to restrict a user's resource usage to the appropriate level allowing fine-tuned cost control.

A method can include obtaining information on at least one of the following: resource occupation of a reconfigurable functional unit associated with hardware accelerator resources or GPP resources, power consumption of a hardware accelerator associated with hardware accelerator resources, and power consumption of a server associated with GPP resources. The method can also include performing processing on the reconfigurable functional unit based on the obtained information, the processing including at least one of configuration, reconfiguration, and migration. The method and apparatus of certain embodiments may increase efficiency of resource management of the edge cloud, lower system energy consumption, and/or enable more efficient virtualization mechanisms for hardware accelerator resources.

Systems and techniques are provided for the emulation of cloud computing service regions. An emulation system receives an API request including an indication of an endpoint associated with a target region of a cloud computing service from a system in a virtual private cloud. Attributes are extracted from the API request. A manipulated API request is generated from the extracted attributes of the API request. The manipulated API request includes an indication of an endpoint located in a standard region of the cloud computing service. The manipulated API request is transmitted to the endpoint located in the standard region of the cloud computing service.

Methods and systems to control mining pools configured to mine more than one blockchain network. A pool controller may automatically select a candidate block generated for one of the blockchain networks for mining by the mining units. The selection may be based on determining an expectation value associated with each current candidate block generated for the respective blockchain networks and which of them is the highest. The expectation value may be based, at least in part, on a current coinbase value and a current difficulty setting for that blockchain network. The pool control may perform the selection with the generation of each new candidate block for any of the blockchain networks.