Abstract: Placement scenario optimization mechanisms for automatic placement of computing entities onto nodes of a running multi-node computing cluster. A set of failure mode parameters define a high-availability requirement of the multi-node computing cluster. In advance of a failure event, and responsive to a determination that a then-current computing entity placement does not satisfy the high-availability requirement, the cluster is analyzed and a plurality of feasible placement scenarios are generated. Optimization criteria are applied to the feasible placement scenarios such that a best choice from among the feasible placement scenarios is identified and applied to the virtual machine placements over the cluster. A change monitoring and detection facility continually observes the multi-node computing cluster to detect a change of a failure mode parameter or to detect a change to the configuration of the virtual machines.

Abstract: Placement scenario optimization mechanisms for automatic placement of computing entities onto nodes of a running multi-node computing cluster. A set of failure mode parameters define a high-availability requirement of the multi-node computing cluster. In advance of a failure event, and responsive to a determination that a then-current computing entity placement does not satisfy the high-availability requirement, the cluster is analyzed and a plurality of feasible placement scenarios are generated. Optimization criteria are applied to the feasible placement scenarios such that a best choice from among the feasible placement scenarios is identified and applied to the virtual machine placements over the cluster. A change monitoring and detection facility continually observes the multi-node computing cluster to detect a change of a failure mode parameter or to detect a change to the configuration of the virtual machines.

Abstract: Placement scenario optimization mechanisms for automatic placement of computing entities onto nodes of a running multi-node computing cluster. A set of failure mode parameters define a high-availability requirement of the multi-node computing cluster. In advance of a failure event, and responsive to a determination that a then-current computing entity placement does not satisfy the high-availability requirement, the cluster is analyzed and a plurality of feasible placement scenarios are generated. Optimization criteria are applied to the feasible placement scenarios such that a best choice from among the feasible placement scenarios is identified and applied to the virtual machine placements over the cluster. A change monitoring and detection facility continually observes the multi-node computing cluster to detect a change of a failure mode parameter or to detect a change to the configuration of the virtual machines.

Abstract: Various embodiments set forth one or more non-transitory computer-readable media storing program instructions that, when executed by one or more processors, cause the one or more processors to perform steps of determining at least one physical resource of a node in a cluster of nodes is under contention by virtual computing instances or a virtual computing instance cannot be placed on the cluster of nodes, determining a placement for one or more virtual computing instances on the cluster of nodes, each virtual computing instance having a virtual resource associated with a profile that is compatible with a profile associated with a physical resource of a node on which the virtual computing instance is placed, and generating and executing a plan to achieve the placement, the plan including at least one of migrating at least one virtual computing instance or reconfiguring a profile associated with at least one physical resource.

Abstract: Methods, systems and computer program products for computer cluster management. Multiple components are operatively interconnected to carry out operations for placing virtual machines onto a multi-tenant computing cluster, where the placement achieves adherence to a set of security requirements. Initially, data characterizing logical CPU resources of the multi-tenant computing cluster are gathered. Upon receipt of a request to place a virtual machine onto a node of the multi-tenant computing cluster, a set of security rules that are used to achieve the set of security requirements associated with the multi-tenant computing cluster are accessed. In accordance with the security rules the virtual machine is assigned to execute in a portion of the logical CPU resources. The virtual machine does not share logical CPU resources with any other tenant.

Abstract: Methods, systems and computer program products for computer cluster management. Multiple components are operatively interconnected to carry out operations for placing virtual machines onto a multi-tenant computing cluster, where the placement achieves adherence to a set of security requirements. Initially, data characterizing logical CPU resources of the multi-tenant computing cluster are gathered. Upon receipt of a request to place a virtual machine onto a node of the multi-tenant computing cluster, a set of security rules that are used to achieve the set of security requirements associated with the multi-tenant computing cluster are accessed. In accordance with the security rules the virtual machine is assigned to execute in a portion of the logical CPU resources. The virtual machine does not share logical CPU resources with any other tenant.

Abstract: A system and method include migrating virtual machines (VMs) between compute only (CO) and hyper converged (HC) nodes. The method includes identifying, by a management processor of a virtual computing system, a plurality of virtual machines hosted on compute only (CO) nodes in the virtual computing system. The management processor then identifies hyper converged (HC) nodes having virtual disks hosting data for the plurality of virtual machines hosted on CO nodes. When a virtual machine (VM) in the plurality of virtual machines is migrating, the management processor biases the VM to migrate to a first HC node hosting a virtual disk assigned to host data for the VM.

Abstract: Systems and methods for optimizing virtual migration includes determining a migration plan which includes migrating at least a virtual machine (VM) from a first origin node to a first candidate destination node over a network, determining a network migration cost for the migration plan, which includes determining a first relative network usage indicative of an amount of network traffic communicated over the network between the VM and each of one or more associated file storages when the VM is located on the first candidate destination node, and selecting to execute the migration plan based on the network migration cost.

Abstract: A system and method include assigning virtual machines (VMs) to any one of compute only (CO) and hyper converged (HC) nodes. The method includes identifying, by a management processor of a virtual computing system, input-output patterns for a plurality of virtual disks in the virtual computing system; ranking, by the management processor, the plurality of virtual machines according to the identified input-output patterns; assigning, by the management processor, the plurality of virtual machines to any one of CO and HC nodes that optimize performance of the virtual computing system; monitoring, by the management processor, performance of the plurality of virtual machines; and determining, by the management processor, a change in behavior of one of the plurality of virtual machines.

Abstract: A system and method include assigning virtual machines (VMs) to any one of compute only (CO) and hyper converged (HC) nodes. The method includes identifying, by a management processor of a virtual computing system, input-output patterns for a plurality of virtual disks in the virtual computing system; ranking, by the management processor, the plurality of virtual machines according to the identified input-output patterns; assigning, by the management processor, the plurality of virtual machines to any one of CO and HC nodes that optimize performance of the virtual computing system; monitoring, by the management processor, performance of the plurality of virtual machines; and determining, by the management processor, a change in behavior of one of the plurality of virtual machines.

Abstract: A system and method include migrating virtual machines (VMs) between compute only (CO) and hyper converged (HC) nodes. The method includes identifying, by a management processor of a virtual computing system, a plurality of virtual machines hosted on compute only (CO) nodes in the virtual computing system. The management processor then identifies hyper converged (HC) nodes having virtual disks hosting data for the plurality of virtual machines hosted on CO nodes. When a virtual machine (VM) in the plurality of virtual machines is migrating, the management processor biases the VM to migrate to a first HC node hosting a virtual disk assigned to host data for the VM.

Abstract: Systems and methods for optimizing virtual migration includes determining a migration plan which includes migrating at least a virtual machine (VM) from a first origin node to a first candidate destination node over a network, determining a network migration cost for the migration plan, which includes determining a first relative network usage indicative of an amount of network traffic communicated over the network between the VM and each of one or more associated file storages when the VM is located on the first candidate destination node, and selecting to execute the migration plan based on the network migration cost.