Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Techniques to utilize excess resources in a cloud system, such as by enabling an auxiliary resource utilizer to use resources while they are not needed to support primary resource utilizers, are described herein. Some embodiments are directed to identifying and allocating excess capacity of resources in a cloud system to auxiliary resource utilizers based on one or more policies. In various embodiments, excess resources in one or more of the set of resources in the cloud system, or cloud resources, may be determined based on monitoring utilization of the cloud resources by the primary resource utilizers. In many embodiments, an auxiliary resource utilizer that is in compliance with a set of utilization policies may be identified and the excess resources may be allocated to the auxiliary resource utilizer.

Systems and methods to support flexible scaling and dynamic resource allocation for virtualized cable data plane applications. The system includes a head end together with a node to provide data to customer devices. A container operating that includes a data plane application that provides packets of data for transmission to the node. The data plane application is instantiated with at least one of a virtual networking function and a computing resource function.

Systems and methods to support switching of virtual cores.

Computing resources are managed in a computing environment comprising a computing service provider and an edge computing network. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to remote users of the computing service provider. The edge computing network collects capacity and usage data for computing and network resources at the edge computing network. The capacity and usage data is sent to the computing service provider. Based on the capacity and usage data, the computing service provider, using a cost function, determines a distribution of workloads pertaining to a processing pipeline that has been partitioned into the workloads. The workloads can be executed at the computing service provider or the edge computing network.

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.

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.

In a resource-pooling system, predictions can be made as to when and how resources may be needed by particular processes in the system. Requests can be made preemptively to client systems to pre-allocate resources such that resources are ready to use when needed. Client systems can submit constraints on how particular resources may be used by the system. In order to efficiently evaluate these constraints, the system may be organized into a hierarchy of groups, subsystems, and processes, and the constraints may be formulated to match this hierarchy. When resources need to be allocated, constraints may be evaluated using an algorithm that traverses levels of the hierarchy to quickly identify pre-allocations that are available for a particular process based on its location in the system hierarchy.

The technology described herein documents interactions in a cloud computing environment. The system creates a first partition within the cloud computing environment for a first entity and a second partition within the cloud computing environment for a second entity. A blockchain ledger can be created for a set of interactions between the first entity and the second entity, where the blockchain ledger is disengaged when the first entity and the second entity are not interacting.