Abstract: Controlling allocation of resources in network function virtualization. Data defining a pool of available physical resources is maintained. Data defining one or more resource allocation rules is identified. An application request is received. Physical resources from the pool are allocated to virtual resources to implement the application request, on the basis of the maintained data, the identified data and the received application request.

Abstract: Controlling allocation of resources in network function virtualization. Data defining a pool of available physical resources is maintained. Data defining one or more resource allocation rules is identified. An application request is received. Physical resources from the pool are allocated to virtual resources to implement the application request, on the basis of the maintained data, the identified data and the received application request.

Abstract: Example implementations relate to generating virtualized network functions by identifying mappable elements and unmappable elements of a virtualized network function template based on a network function virtualization model. The mappable elements may be mapped to the network function virtualization model. The mappable elements may be translated based on the mapping. The unmappable elements are filtered based on a black-white list. The translated virtualized network function definition comprising the translated elements and the filtered elements is generated. The virtualized network function is generated based on the translated virtualized network function definition.

Abstract: Controlling allocation of resources in network function virtualization. Data defining a pool of available physical resources is maintained. Data defining one or more resource allocation rules is identified. An application request is received. Physical resources from the pool are allocated to virtual resources to implement the application request, on the basis of the maintained data, the identified data and the received application request.

Abstract: Generation of cloud-based actionable processes is described. An example includes receiving a request for an application to be executed in a cloud environment, the application including an application specific function to be executed from an orchestrator in the cloud environment, the application specific function being in addition to a default function that is available from the orchestrator; defining the application specific function as a cloud-based actionable process based at least in part on a package declarative manifest; and exposing the defined application specific function in one or more of a graphical user interface (GUI) or an application program interface (API).

Abstract: Virtual Network Functions (VNF) applies automation and virtualization techniques to move current network functions from dedicated hardware to general purpose hardware of an Information Technology (IT) infrastructure. A VNF may include one or more Virtual Machines (VM) and virtual networks which may implement the function of a network. Systems and methods provide a processing unit, a computation module and an allocation module for VNF allocation. The computation module is configured to determine an extinction factor corresponding to a datacenter unit based on a state of the datacenter and a VNF catalogue including a plurality of VNFs. The computation module is also configured to develop an allocation model based on the determined extinction factor. The allocation module is configured to allocate a first VNF from the plurality of VNFs in the datacenter based on the allocation model.

Abstract: Controlling allocation of resources in network function virtualization. Data defining a pool of available physical resources is maintained. Data defining one or more resource allocation rules is identified. An application request is received. Physical resources from the pool are allocated to virtual resources to implement the application request, on the basis of the maintained data, the identified data and the received application request.

Abstract: Example implementations relate to generating virtualized network functions by identifying mappable elements and unmappable elements of a virtualized network function template based on a network function virtualization model. The mappable elements may be mapped to the network function virtualization model. The mappable elements may be translated based on the mapping. The unmappable elements are filtered based on a black-white list. The translated virtualized network function definition comprising the translated elements and the filtered elements is generated. The virtualized network function is generated based on the translated virtualized network function definition.

Abstract: Example implementations relate to generating virtualized network functions by identifying mappable elements and unmappable elements of a virtualized network function template based on a network function virtualization model. The mappable elements may be mapped to the network function virtualization model. The mappable elements may be translated based on the mapping. The unmappable elements are filtered based on a black-white list. The translated virtualized network function definition comprising the translated elements and the filtered elements is generated. The virtualized network function is generated based on the translated virtualized network function definition.

Abstract: Controlling allocation of resources in network function virtualisation. Data defining a pool of available physical resources is maintained. Data defining one or more resource allocation rules is identified. An application request is received. Physical resources from the pool are allocated to virtual resources to implement the application request, on the basis of the maintained data, the identified data and the received application request.

Abstract: An example system including a controller, a processing resource, and a memory resource including instructions that when executed cause the processing resource to discover an orphan virtual machine (VM) included in a cloud platform. The controller may determine characteristics of the orphan VM based on information identified in the cloud platform and map the orphan VM to a virtual network function (VNF) based on the information identified in the cloud platform and assign the VNF to a tenant based on the characteristics of the orphan VM.

Abstract: An example computing system for allocating Virtual Network Functions (VNF) in a datacenter is disclosed. The example disclosed herein comprises a processing unit, a computation module and an allocation module. The computation module is configured to determine an extinction factor corresponding to a datacenter unit in the datacenter based on a state of the datacenter and a VNF catalogue including a plurality of VNFs; and to develop an allocation model based on the determined extinction factor. The allocation module is configured to allocate a first VNF from the plurality of VNFs in the datacenter based on the allocation model.

Abstract: Examples of federated virtual datacenter apparatus are described. In an example, at least two virtual datacenter instances are provided in respective different network broadcast domains and an overlay network encompasses the respective different broadcast domains. An Internet Protocol (IP) address manager assigns IP addresses network devices associated with the plurality of virtual datacenter instances so as to avoid IP address conflicts between virtual datacenter instances.

Abstract: An example computing system for allocating Virtual Network Functions (VNF) in a datacenter includes a processing unit, a computation module and an allocation module. The computation module is configured to determine an extinction factor corresponding to a datacenter unit in the datacenter based on a state of the datacenter and a VNF catalogue including a plurality of VNFs; and to develop an allocation model based on the determined extinction factor. The allocation module is configured to allocate a first VNF from the plurality of VNFs in the datacenter based on the allocation model.

Abstract: An example system including a controller, a processing resource, and a memory resource including instructions that when executed cause the processing resource to discover an orphan virtual machine (VM) included in a cloud platform. The controller may determine characteristics of the orphan VM based on information identified in the cloud platform and map the orphan VM to a virtual network function (VNF) based on the information identified in the cloud platform and assign the VNF to a tenant based on the characteristics of the orphan VM.

Abstract: Examples for network function virtualization are described. These examples include accessing definition data defining a virtual network function, the virtual network function comprising one or more components. The definition data is then instantiated to generate an instance of the virtual network function. Physical computing resources may then be assigned to the instance of the virtual network function.

Abstract: An example computing system for allocating Virtual Network Functions (VNF) in a datacenter is disclosed. The example disclosed herein comprises a processing unit, a computation module and an allocation module. The computation module is configured to determine an extinction factor corresponding to a datacenter unit in the datacenter based on a state of the datacenter and a VNF catalogue including a plurality of VNFs; and to develop an allocation model based on the determined extinction factor. The allocation module is configured to allocate a first VNF from the plurality of VNFs in the datacenter based on the allocation model.

Abstract: Examples of federated virtual datacenter apparatus are described. In an example, at least two virtual datacenter instances are provided in respective different network broadcast domains and an overlay network encompasses the respective different broadcast domains. An Internet Protocol (IP) address manager assigns IP addresses network devices associated with the plurality of virtual datacenter instances so as to avoid IP address conflicts between virtual datacenter instances.

Abstract: Examples for network function virtualization are described. These examples include accessing definition data defining a virtual network function, the virtual network function comprising one or more components. The definition data is then instantiated to generate an instance of the virtual network function. Physical computing resources may then be assigned to the instance of the virtual network function.

Abstract: Example implementations relate to manual and automated task execution in a process. For example, a computing device may include a processor. The processor may initiate a process having a manual task and an automated task, the process being associated with process definitions stored in a database. The processor may send, from the database, a manual process definition associated with the manual task to a new entry in the database and an automated process definition associated with the automated task to an automated process queue. The processor may execute the automated task based on the automated process definition in the automated process queue and may execute the manual task using the manual process definition in the new entry of the database. The execution of the manual task may generate a user interface to receive data associated with the manual task.