A system to facilitate infrastructure management is described. The system includes a plurality of management controllers each having a control function of a plurality of infrastructure devices and a state cache storing a state of the plurality of infrastructure devices, including a first management controller to initiate an operation to be performed on a first set of resources. The system also includes a plurality of infrastructure controllers, each having a state repository to maintain a state function of the plurality of infrastructure devices, including a first infrastructure controller associated with the first set of resources to perform the operation on the first set of resources, update a first state repository including an updated state of the first set of resources in response to the operation and broadcast the updated state of the first set of resources to each of the plurality of management controllers.

Presented herein are embodiments for implicitly or indirectly registering elements of a non-volatile memory express (NVMe) entity in an NVMe-over-Fabric (NVMe-oF) environment. In one or more embodiments, one or more interactions between an NVMe entity and a centralized storage fabric service component, such as part of the Link Layer Discovery Protocol (LLDP) process or the Multicast Domain Name System (mDNS) process, may be used by the centralized storage fabric service to extract information about the NVMe entity and automatically register it with a centralized registration datastore. In one or more embodiments, the centralized registration datastore may be used to facilitate services in the NVMe-oF system, such as discovery of NVMe entities, provisioning, and access control. In one or more embodiments, an implicitly registered NVMe entity may also subsequently explicitly register, which may include supplying additional information about the NVMe entity.

A method may include receiving a request to define a primary resource. The primary resource may enable access to a primary handler that corresponds to a logical entity that controls a device or a port or another resource. The method may include identifying a primary domain object for the primary resource. The primary domain object maps the primary resource to the primary handler. The primary domain object represents a state of the primary resource. The method may include identifying an interface for the primary resource. The interface may be configured to receive a command through a link from a client. The method may include receiving a state request associated with the interface for the primary resource, wherein the primary domain object handler is configured to send a state message indicating the state of the primary resource in response to the request.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.

Embodiments of this application provide a method, an apparatus, and a system for managing a network slice instance. The method includes: receiving, by a first network device, a network slice instance creation request from a transmit end device, to request to create a target network slice instance; sending, by the first network device, network function configuration indication information to a second network device based on the description information, to instruct the second network device to configure a network function of the target network slice instance; receiving, by the first network device, network function configuration response information sent by the second network device, to indicate that the configuration of the network function of the target network slice instance is completed; and sending, by the first network device, network slice instance creation response information to the transmit end device.

Selecting an optimal combination of cloud resources within budget constraints, by a processor. All possible combinations for cloud resource bundles are computed which are available for allocation. The possible combinations are filtered according to predetermined criteria. The filtered possible combinations are divided into a first set that satisfies an overall workload demand for resources and a second set that partially satisfies the overall workload demand for resources. A level of goodness may be calculated for one or both of the first and second sets, and resources may be allocated from the first or second set to a cluster according to the calculated level of goodness. In some embodiments, the level of goodness may be defined based on the relative desirability (i.e., a user's preference) of aspects such as compute power, cost of resources, and the distribution or co-location of respective resources of the cloud resource bundles.

Systems and methods to support switching of virtual cores.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Disclosed herein are system, method, and computer program product embodiments for deploying a configurable throttling library in a cloud platform that throttles requests according to fully customizable parameters across each origin and resource. An administrator can harness the full customization provided by the throttling library to specify increment, decrement, delay, threshold, expiration, and rejection policies. These policies allow administrators to specify parameters guiding throttling on a per-user and a per-resource basis, thus providing significantly enhanced configuration capabilities to the administrator to tailor the throttling to the unique requirements of their applications and the usage thereof.