Abstract: Examples can include (1) identifying, on a network, a source node and a destination node, the source node including at least one source node virtual machine (“VM”) to be replicated as a destination node VM on the destination node, (2) performing a full synchronization by copying disks used by the source node VM in a current operational state to the destination node VM, (3) scheduling start times for multiple update synchronizations of changed data between the source node VM and the destination node VM, the start times being scheduled at different time intervals, wherein a first time interval is greater than a second time interval, and (4) performing, at a switch-over time, a shutdown of the source node VM and transmitting data changes that are pending on the disk to the destination node. Various corresponding systems, methods, and non-transitory computer-readable media are also disclosed.

Abstract: An example method of deploying an application by a telecommunications platform in a multi-cloud computing system includes: receiving, at the telecommunications platform executing in a first software-defined data center (SDDC), an application deployment specification for a first application; receiving, at the telecommunications platform, selection of a virtual infrastructure (VI) template for the first application, the VI template defining a configuration of SDDC resources in the multi-cloud computing system; and deploying the first application based on the application deployment specification of the first application and the VI template.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: A system and method for deploying a virtual network function (VNF) are disclosed. Deploying a VNF includes receiving a request to instantiate a VNF in a network virtualization infrastructure, obtaining input from a user providing parameters needed for performing the instantiation of the VNF, determining a type of deployment for the VNF, and adding parameters inferred from the type of deployment to the user data to complete the parameters needed for deployment of the VNF, wherein the added parameters are inferred based on stored data regarding previous instantiations of the VNF. Determining the type of deployment for the VNF includes determining a number of instances of the VNFs to be deployed and a number of virtual infrastructure managers that will be instructed to deploy resources needed by the VNF.

Abstract: A system and method for orchestrating distributed operations to be executed in a distributed computing system with multiple virtual infrastructures uses a distributed operation descriptor to find any Cloud-Native Network Function (CNF) entry in the distributed operation descriptor. For each found CNF entry, a CNF descriptor is retrieved from a CNF catalog and parsed to find an overridable property for a CNF described in the CNF descriptor for which a property override is defined. Then, a target virtual infrastructure is selected from the multiple virtual infrastructures to perform a lifecycle management operation of the CNF. Instructions are then transmitted to a local operator in the target virtual infrastructure with the property override so that information regarding the CNF is transmitted to a local orchestrator of the target virtual infrastructure to perform the lifecycle management operation of the CNF at the target virtual infrastructure using the property override.

Abstract: Some embodiments provide a method that generating a host profile for deploying a first network function. the method uses a virtual machine configuration operator in a remote data center to configure one or more virtual machines implementing a workload cluster to perform the first network function based on the host profile. The method uses the virtual machine configuration operator to configure one or more virtual machines implementing a management cluster based on the host profile. The workload cluster is managed by the management cluster.

Abstract: Some embodiments provide a method that generates (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster. The method updates a configuration map of the worker node based on the node profile. The method uses a node configuration operator in a remote data center to configure the worker node based on the configuration map. The method uses a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile.

Abstract: A system and method for orchestrating distributed operations to be executed in a distributed computing system with multiple virtual infrastructures uses a distributed operation descriptor to find any Cloud-Native Network Function (CNF) entry in the distributed operation descriptor. For each found CNF entry, a CNF descriptor is retrieved from a CNF catalog and parsed to find an overridable property for a CNF described in the CNF descriptor for which a property override is defined. Then, a target virtual infrastructure is selected from the multiple virtual infrastructures to perform a lifecycle management operation of the CNF. Instructions are then transmitted to a local operator in the target virtual infrastructure with the property override so that information regarding the CNF is transmitted to a local orchestrator of the target virtual infrastructure to perform the lifecycle management operation of the CNF at the target virtual infrastructure using the property override.

Abstract: A system and method for performing a failure analysis on a computing system uses a Bayesian network that is generated from a correlation directed acyclic graph (CDAG) of nodes that represent entities in the computing system with edge weights for edges between the nodes. The CDAG is generated using log entries of the computing system with reference to a dictionary file, which specifies entity types, dependency types of the entity types, expressions that return values representing prior probabilities of failure for the dependency types, and the edge weights for the dependency types. The Bayesian network generated from the CDAG includes conditional probabilities for edges of the Bayesian network based on the edge weights of the CDAG. The Bayesian network is used to compute posterior probabilities of possible causes of a new failure event in the computing system and output at least one probable cause with an associated posterior probability for the new failure event.

Abstract: A method of executing interfaces of a network service and virtual network functions of the network service, includes the steps of: retrieving a descriptor of a network service; determining from the descriptor of the network service, virtual network functions associated with the network service including first and second virtual network functions, and that the second virtual network function references an output of an interface of the network service; during execution of the interface of the network service, storing the output thereof that is referenced by the second virtual network function; and retrieving the output of the interface of the network service that has been stored as an input to an interface of the second virtual network function.

Abstract: A system and method for orchestrating distributed operations to be executed in a distributed computing system with multiple virtual infrastructures uses a distributed operation descriptor to find any Cloud-Native Network Function (CNF) entry in the distributed operation descriptor. For each found CNF entry, a CNF descriptor is retrieved from a CNF catalog and parsed to find an overridable property for a CNF described in the CNF descriptor for which a property override is defined. Then, a target virtual infrastructure is selected from the multiple virtual infrastructures to perform a lifecycle management operation of the CNF. Instructions are then transmitted to a local operator in the target virtual infrastructure with the property override so that information regarding the CNF is transmitted to a local orchestrator of the target virtual infrastructure to perform the lifecycle management operation of the CNF at the target virtual infrastructure using the property override.

Abstract: A system and method for deploying a virtual network function (VNF) are disclosed. Deploying a VNF includes receiving a request to instantiate a VNF in a network virtualization infrastructure, obtaining input from a user providing parameters needed for performing the instantiation of the VNF, determining a type of deployment for the VNF, and adding parameters inferred from the type of deployment to the user data to complete the parameters needed for deployment of the VNF, wherein the added parameters are inferred based on stored data regarding previous instantiations of the VNF.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: System and method for managing public internet protocol (IP) addresses for a group of virtual data centers utilize a virtual overlay network to route communications between the virtual data centers and a public network through a virtual edge router of one of the virtual data centers using a public IP address assigned to that virtual edge router.

Abstract: Examples can include (1) identifying, on a network, a source node and a destination node, the source node including at least one source node virtual machine (“VM”) to be replicated as a destination node VM on the destination node, (2) performing a full synchronization by copying disks used by the source node VM in a current operational state to the destination node VM, (3) scheduling start times for multiple update synchronizations of changed data between the source node VM and the destination node VM, the start times being scheduled at different time intervals, wherein a first time interval is greater than a second time interval, and (4) performing, at a switch-over time, a shutdown of the source node VM and transmitting data changes that are pending on the disk to the destination node. Various corresponding systems, methods, and non-transitory computer-readable media are also disclosed.

Abstract: Multiple tenants within a hybrid cloud computing system may need IP addresses to communicate over a computer network external to the hybrid cloud system (such as the Internet). IP addresses are a scarce resource, and each address can only be assigned to a single tenant. With multiple tenants competing for IP addresses, many request collisions may occur if tenants request IP addresses in a naïve manner, such as by requesting the next available IP address numerically. When a collision occurs, a tenant must request a different IP address. Instead, tenants request random IP addresses within a particular subnet in a random manner, thereby reducing the number of collisions that occur and improving the latency associated with requesting an IP address.

Abstract: System and method for managing public internet protocol (IP) addresses for a group of virtual data centers utilize a virtual overlay network to route communications between the virtual data centers and a public network through a virtual edge router of one of the virtual data centers using a public IP address assigned to that virtual edge router.

Abstract: Multiple tenants within a hybrid cloud computing system may need IP addresses to communicate over a computer network external to the hybrid cloud system (such as the Internet). IP addresses are a scarce resource, and each address can only be assigned to a single tenant. With multiple tenants competing for IP addresses, many request collisions may occur if tenants request IP addresses in a naive manner, such as by requesting the next available IP address numerically. When a collision occurs, a tenant must request a different IP address. Instead, tenants request random IP addresses within a particular subnet in a random manner, thereby reducing the number of collisions that occur and improving the latency associated with requesting an IP address.