Abstract:
In an embodiment, a computer-implemented method comprises receiving logical model input that specifies a logical topology model of networking elements and/or computing elements for deployment at least partially in a private cloud computing infrastructure and at least partially in a public cloud computing infrastructure; receiving resource input specifying an inventory of computing elements that are available at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure; automatically generating an intermediate topology comprising a set of deployment instructions that are capable of execution at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure to cause physical realization of a network deployment corresponding to the logical topology model; determining whether the intermediate topology is functionally equivalent to the logical topology model; in response to determining that the intermediate topology is functionally equivalent to the logical topology model, transmitting the deployment instructions at least partially to the private cloud computing infrastructure and at least partially to the public cloud computing infrastructure.
Abstract:
In an embodiment, a computer-implemented method comprises receiving logical model input that specifies a logical topology model of networking elements and/or computing elements for deployment at least partially in a private cloud computing infrastructure and at least partially in a public cloud computing infrastructure; receiving resource input specifying an inventory of computing elements that are available at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure; automatically generating an intermediate topology comprising a set of deployment instructions that are capable of execution at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure to cause physical realization of a network deployment corresponding to the logical topology model; determining whether the intermediate topology is functionally equivalent to the logical topology model; in response to determining that the intermediate topology is functionally equivalent to the logical topology model, transmitting the deployment instructions at least partially to the private cloud computing infrastructure and at least partially to the public cloud computing infrastructure.
Abstract:
The subject disclosure relates to a method for instantiating cloud resources that are provided as service virtual machines. In one embodiment, a cloud service management system maps each one of the multiple abstraction layer slots to a virtual context of a logical resource. The virtual context is hosted by a respective virtual machine that is part of a pool of virtual machines. The system identifies an available abstraction slot from the multiple abstraction layer slots and reserves the slot so that the corresponding virtual context of the logical resource can be served to a requesting device. The system then marks the available abstraction layer slot as unavailable. Systems and computer readable media are also provided.
Abstract:
The subject disclosure relates to a method for scheduling logical resources in cloud platforms. A cloud platform system identifies resource candidates for hosting a logical resource of a cloud service. The system filters the resource candidates by running them through a filter chain, a collection of serially connected filters. The filter chain may contain one or more reference filters that reference other filter chains. When the resource candidates encounter one of the reference filters, the other filter chains can be triggered and processed. The system selects one or more resources for hosting the logical resource from the filtered resource candidates.
Abstract:
The subject disclosure relates to a method for scheduling logical resources in cloud platforms. A cloud platform system identifies resource candidates for hosting a logical resource of a cloud service. The system filters the resource candidates by running them through a filter chain, a collection of serially connected filters. The filter chain may contain one or more reference filters that reference other filter chains. When the resource candidates encounter one of the reference filters, the other filter chains can be triggered and processed. The system selects one or more resources for hosting the logical resource from the filtered resource candidates.
Abstract:
The subject disclosure relates to a method for scheduling logical resources in cloud platforms. A cloud platform system identifies resource candidates for hosting a logical resource of a cloud service. The system filters the resource candidates by running them through a filter chain, a collection of serially connected filters. The filter chain may contain one or more reference filters that reference other filter chains. When the resource candidates encounter one of the reference filters, the other filter chains can be triggered and processed. The system selects one or more resources for hosting the logical resource from the filtered resource candidates.
Abstract:
In an embodiment, a computer-implemented method comprises receiving logical model input that specifies a logical topology model of networking elements and/or computing elements for deployment at least partially in a private cloud computing infrastructure and at least partially in a public cloud computing infrastructure; receiving resource input specifying an inventory of computing elements that are available at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure; automatically generating an intermediate topology comprising a set of deployment instructions that are capable of execution at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure to cause physical realization of a network deployment corresponding to the logical topology model; determining whether the intermediate topology is functionally equivalent to the logical topology model; in response to determining that the intermediate topology is functionally equivalent to the logical topology model, transmitting the deployment instructions at least partially to the private cloud computing infrastructure and at least partially to the public cloud computing infrastructure.
Abstract:
The subject disclosure relates to a method for scheduling logical resources in cloud platforms. A cloud platform system identifies resource candidates for hosting a logical resource of a cloud service. The system filters the resource candidates by running them through a filter chain, a collection of serially connected filters. The filter chain may contain one or more reference filters that reference other filter chains. When the resource candidates encounter one of the reference filters, the other filter chains can be triggered and processed. The system selects one or more resources for hosting the logical resource from the filtered resource candidates.
Abstract:
The subject technology provides embodiments for defining, using a first application programming interface (API), a logical resource variant of a logical service resource. The logical resource variant is registered at a defining entity. Software components for the logical resource variant are then sent to a Infrastructure as a Service (IaaS) system to associate the software components with the logical resource variant. A call, from a second API, is received to enable create, read, update and delete (CRUD) operations for the logical resource variant. An instantiating entity is assigned for the logical resource variant of the logical service resource. It is then requested to the assigned instantiating entity to instantiate and configure the logical resource variant of the logical service resource.