Abstract: Example methods are provided for a first node to perform identifier (ID) allocation in a virtualized computing environment that includes a cluster formed by the first node and at least one second node. The method may comprise retrieving, from a pool of IDs associated with the cluster, a batch of IDs to a cache associated with the first node. The pool of IDs may be shared within the cluster and the batch of IDs retrieved for subsequent ID allocation by the first node. The method may also comprise, in response to receiving a request for ID allocation from an ID consumer, allocating one or more IDs from the batch of IDs in the cache to respective one or more objects for unique identification of the one or more objects across the cluster; and sending, to the ID consumer, a response that includes the allocated one or more IDs.

Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.

Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.

Abstract: The disclosure provides an approach for collecting system state data relating to whether certain system states overload a processor assigned to a controller of the system. The approach further involves using the collected data to train a regression machine learning algorithm to predict whether indented or desired system states will result in processor overload. Depending on the prediction, the approach takes one of several steps to efficiently change system state.

Abstract: In one example, workload attributes associated with workloads running in a virtualized computing environment may be retrieved. A distance analysis may be performed using the retrieved workload attributes to generate a distance matrix that identifies a distance between each workload and each other workload. Further, a cluster analysis may be performed on the workloads based on the distance matrix to generate clusters, where each cluster may include identical workloads. Furthermore, the identical workloads in each cluster may be associated with at least one security policy to provide security services in the virtualized computing environment.

Abstract: This disclosure presents processes and systems that translate policies defined for virtual objects, such as virtual servers, applications, and databases, of a distributed computing system into identity information of services provided by virtual objects to computing devices located outside the distributed computing system. Processes and systems form object graphs of computing device identity information, virtual objects, and virtual object identify information. Processes and systems translate polices for controlling network between the computing devices and the virtual objects into identity information of the computing devices and the virtual objects. The identify information of the virtual objects and the computing devices is used to create rules for controlling network traffic between the virtual objects and the computing devices.

Abstract: The disclosure provides an approach for collecting system state data relating to whether certain system states overload a processor assigned to a controller of the system. The approach further involves using the collected data to train a regression machine learning algorithm to predict whether indented or desired system states will result in processor overload. Depending on the prediction, the approach takes one of several steps to efficiently change system state.

Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.

Abstract: In a computer-implemented method for managing resource allocation of a managed system, responsive to a request by a consumer node, an owner node of a plurality of owner nodes that controls resource allocations from the pool of resources is determined, where the resource is associated with a data object. A resource is allocated from a pool of resources comprising a plurality of resources by the owner node. An allocation marker corresponding to the resource is created. The resource and the allocation marker are made available for retrieval by the consumer node.

Abstract: Example methods are provided for a first node to perform identifier (ID) allocation in a virtualized computing environment that includes a cluster formed by the first node and at least one second node. The method may comprise retrieving, from a pool of IDs associated with the cluster, a batch of IDs to a cache associated with the first node. The pool of IDs may be shared within the cluster and the batch of IDs retrieved for subsequent ID allocation by the first node. The method may also comprise, in response to receiving a request for ID allocation from an ID consumer, allocating one or more IDs from the batch of IDs in the cache to respective one or more objects for unique identification of the one or more objects across the cluster; and sending, to the ID consumer, a response that includes the allocated one or more IDs.