Systems and methods are disclosed for generating adaptive code based on resource availability. The systems and methods measure, by a code set executed via a web browser of a first user device, a first set of data associated with the first user device of multiple user devices. The code set further measures a second set of data associated with a computing environment of the first user device. A first value for a resource availability function is calculated in view of the first set of data and the second set of data. The first value is compared to a set of values for the resource availability function associated with the plurality of user devices to determine a classification for the first user device. A level of activity of the code set is adjusted in view of a rule associated with the classification of the first user device.

Systems and methods for determining if a controller that can service a custom resource (CR) exists are disclosed. A processing device annotates a corresponding deployment of each of a plurality of controllers with filter metadata obtained from the controller. The filter metadata of a controller comprises at least an object type that the controller is to service. In response to generating a CR, the processing device may compare the definitions of the CR with the filter metadata from each of the plurality of controllers, wherein the definitions of the CR comprise at least an object type of the CR. In response to determining that none of the plurality of controllers have filter metadata matching the definitions of the CR, the processing device may provide to a user a no-match alert indicating that there is no controller among the plurality of controllers that can service the CR.

Methods, systems, and computer-readable storage media for determining, by an instance manager and from a pattern associated with a system executing within a landscape, that a status of the system is to change to scaled-in, the pattern being absent any reference to instances of systems executed within landscapes, in response, identifying, by the instance manager and from a logic scaling set that is associated with the system, one or more instances of the system that are able to be scaled-in, selecting, by the instance manager, at least one instance of the one or more instances, and executing, by the instance manager, scaling of the system based on the at least one instance.

Techniques for safe oversubscription of connection tracking entries are described. A method for safe oversubscription of connection tracking entries may include receiving a request for an allocation of a resource on a physical host in a provider network, the request received by a resource allocation monitor from an instance hosted by the physical host, determining a resource availability on the physical host, the resource availability based on a total amount of the resource on the physical host, a reserved amount of the resource to a plurality of instances hosted by the physical host, and a shared amount of the resource, and granting or denying the resource allocation based at least on the determined resource availability.

Cloud-native clusters are disclosed and configured to for an edge cloud. The edge cloud includes using private infrastructure to include edge stations that are configured to perform cloud-native applications. The edge stations are geographically closer to end users and end user devices.

Aspects involve an apparatus, device, systems, and methods for instantiating and operating a cloudless infrastructure of computing devices that communicate peer-to-peer and mostly off-grid (or otherwise without communicating through a conventional centralized network) to share resources, access, and provide services and applications, store and access data and other information, and the like. The systems may provide services to connecting computing devices, such as user devices, personal computing devices, mobile devices, laptops, personal computers, Internet of Things (IoT) devices etc., in communication with one or more of the nodes of the infrastructure. The infrastructure exchanges or manages communications, transactions, and/or data in a cloudless and/or decentralized environment to freely exchange information between the nodes to allow the infrastructure to scale in response to client demands, adapt the infrastructure to a failed node with minimal impact on connected computing devices, and provide robust security to customer information, communications, and devices.

A method for multi-cloud deployment and validation may be provided. The method may include receiving a first template specifying a cloud resource requirement. A first resource from a first cloud provider and a second resource from a second cloud provider may be identified. The first resource and the second resource may be a same or comparable resource capable of satisfying the cloud resource requirement specified by the first template. The first resource may be selected instead of the second resource based on a respective cost of the first resource and the second resource. A second template for deploying the first resource at the first cloud provider may be generated. The first resource may be deployed by sending the second template to the first cloud provider. Related systems and articles of manufacture are also provided.

A network processing element and method for using it, are provided for use in a cluster comprising a plurality of network processing elements, wherein the network processing element is configured to enable provisioning of a plurality of different services, wherein the network processing element is configured to store state data associated with one or more functions required for carrying out each of the plurality of different services, and wherein the network processing element is further configured to provide a service or part thereof, based on the state data associated the network processing element's processing resources required for carrying out one or more functions in the provisioning of the requested service.

A method for enabling dynamic resource ownership transfer among network slice tenants includes acquiring an initial share of resources, admitting a plurality of tenants to a private blockchain platform, initiating a resource transaction process within a consortium of peer nodes, and validating proposed transactions in a distributed and automatized way. An infrastructure provider (InP) provides a mobile network that is virtually divided into a set of slices, and an intermediate broker (IB) regulates transactions, executed via a blockchain, by which resources are distributed between tenants. A smart contract (SC) running within the blockchain implements resource auditing among tenants and enforces IB-specific policies in managing transfers of the resources between the tenants. A consensus algorithm validates the transactions, and the infrastructure provider (InP) processes validated transactions and enforces transaction directives in the resource allocation process.

A method for allocating a virtual resource based on a blockchain, including: receiving resource allocation transaction sent by a client, wherein the resource allocation transaction includes a user identifier of a target user; in response to the resource allocation transaction, invoking verification logic in a smart contract deployed in the blockchain to verify whether a service indicator of the target user within a preset service cycle satisfies a virtual resource allocation condition; and when the service indicator satisfies the virtual resource allocation condition, invoking virtual resource allocation logic in the smart contract to allocate a preset amount of virtual resources to the target user from a virtual resource pool and transfer the preset amount of virtual resources to a blockchain account corresponding to the user identifier, wherein virtual resources in the virtual resource pool are associated with service profits of a service operator corresponding to service of the target user.