Methods, apparatus, systems, and articles of manufacture are disclosed for provisioning cloud infrastructure resources, the apparatus comprising: resource bundling circuitry to select cloud infrastructure resources to bundle as a virtual private zone; provisioning circuitry to provision the cloud infrastructure resources; and allocation circuitry to allocate the virtual private zone to a first tenant, the first tenant authorized to access the cloud infrastructure resources bundled in the virtual private zone.

Disclosed are systems, methods, and computer readable media for automatically assessing and allocating virtualized resources (such as CPU and GPU resources). In some embodiments, this method involves a computing infrastructure receiving a request to perform a workload, determining one or more workflows for performing the workload, selecting a virtualized resource, from a plurality of virtualized resources, wherein the virtualized resource is associated with a hardware configuration, and wherein selecting the virtualized resources is based on a suitability score determined based on benchmark scores of the one or more workflows on the hardware configuration, scheduling performance of at least part of the workload on the selected virtualized resource, and outputting results of the at least part of the workload.

Aspects of the subject disclosure may include, for example, a network API service that receives network event data and provides performance hints to a resource manager that manages application containers at edge cloud locations. Network event data may be received from access networks, core networks, nodes within access networks or core networks, or the like. Performance hints may allow booting of application containers at edge cloud locations. Other embodiments are disclosed.

Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

A method including receiving to-be-queried domain names; obtaining a query capacity of a preset query group; allocating the domain names to a matching query group according to the query capacity; and querying domain name information of the domain names through a query interface of the matching query group. In one aspect, by flexible domain name allocation, query resources are fully utilized, and the quantity of concurrent domain name queries is increased, thereby improving query efficiency and reducing a query time. In another aspect, queries are performed by using a particular query interface, and settings of the query interface are maintained, thereby avoiding that settings of the query interface need to be switched due to queries for different types of domain names, and improving query efficiency and reducing a query time.

Embodiments are generally directed apparatuses, methods, techniques and so forth to select two or more processing units of the plurality of processing units to process a workload, and configure a circuit switch to link the two or more processing units to process the workload, the two or more processing units each linked to each other via paths of communication and the circuit switch.

Systems and methods described herein support tag based resource limits or 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. Tags are associated with resources for allowing administrators to restrict a user's resource usage to the appropriate level by allowing fine-tuned cost control. A usage of resources in a tenancy associated with a resource tag corresponding to a request characteristic of a request to provision a resource is determined and compared against a plurality of tag-based quotas, wherein the request to provision the resource is dropped based on the determined usage exceeding one of the plurality of tag-based quotas.

Central processing units (CPUs) are configured to support host access instruction(s) that are associated with accessing solid state storage. A resource management module, implemented independently of the CPUs, receives a resource allocation request that includes a usage type identifier and requested amount of a resource, where the usage type identifier is associated with a group identifier. Adjustable resource configuration information is accessed to obtain: (1) a maximum associated with the usage type identifier, (2) a minimum associated with the usage type identifier, and (3) a group limit associated with the group identifier. Resource state information is accessed and it is determine whether to grant the request based at least in part on the maximum, minimum, group limit, and resource state information. The resource allocation request is then granted or denied based on the determination.

A method is implemented by a network device to dynamically optimize lookup speed in a packet processing table maintained at the network device while the network device is in operation. The method includes determining one or more runtime metrics of the packet processing table, selecting a lookup algorithm for the packet processing table from a set of lookup algorithms supported by the network device based on the one or more runtime metrics of the packet processing table, and configuring the network device to match incoming packets against rules in the packet processing table using the selected lookup algorithm for the packet processing table.

Technologies for providing attestation for function as a service flavors include a compute device including circuitry configured to obtain function definition data indicative of a set of operations to be performed in a function and a set of hardware resources to be utilized by the function, execute a benchmark operation to produce benchmark data indicative of a measured performance of the function, and sign the function definition data and the benchmark data to produce function flavor data. The circuitry is also configured to provide the function flavor data to one or more other compute devices for validation that the function, when executed on the hardware resources, provides the measured performance and write, to a distributed ledger, the function flavor data.