Abstract:
A method of reducing power consumption of a server cluster of host systems with virtual machines executing on the host systems is provided. The method includes recommending host system power-on when there is a host system whose utilization is above a target utilization, and recommending host system power-off when there is a host system whose utilization is below the target utilization. Recommending host system power-on includes calculating impact of powering on a standby host system with respect to reducing the number of highly-utilized host systems in the server cluster. Recommending host system power-off includes calculating impact of powering off a host system with respect to decreasing the number of less-utilized host systems in the server cluster.
Abstract:
Embodiments associate software applications with computing resource containers based on a placement rule and a selected failure correlation. A placement rule indicates that a first software application is to be co-located with a second software application during execution of the first and second software applications. The placement rule also indicates that the first software application is to be separated from the second software application during execution of the first and second software applications. Failure correlations are determined for a plurality of computing resources associated with the first software application. A computing resource with a lowest failure correlation is selected from the plurality of computing resources, and the second software application is associated with the selected computing resource despite the association violating the placement rule.
Abstract:
Embodiments associate software applications with computing resource containers based on placement rules. A placement rule indicates that a first software application is to be co-located with a second software application during execution of the first and second software applications and second placement rule indicates that the first software application is to be separated from the second software application when the second placement rule is violated by enforcing the first placement rule. The placement rule also indicates that the first software application is to be separated from the second software application during execution of the first and second software applications and the second placement rule indicates the first software application is to be co-located with the second software application when the second placement rule is violated by enforcing the first placement rule.
Abstract:
Methods and systems for cluster resource management in virtualized computing environments are described. VM spares are used to reserve (or help discover or otherwise obtain) a set of computing resources for a VM. While VM spares may be used for a variety of scenarios, particular uses of VM spares include using spares to ensure resource availability for requests to power on VMs as well as for discovering, obtaining, and defragmenting the resources and VMs on a cluster, e.g., in response to requests to reserve resources for a VM or to respond to a notification of a failure for a given VM.
Abstract:
Embodiments associate software applications with computing resource containers based on a placement rule and a selected failure correlation. A placement rule indicates that a first software application is to be co-located with a second software application during execution of the first and second software applications. The placement rule also indicates that the first software application is to be separated from the second software application during execution of the first and second software applications. Failure correlations are determined for a plurality of computing resources associated with the first software application. A computing resource with a lowest failure correlation is selected from the plurality of computing resources, and the second software application is associated with the selected computing resource despite the association violating the placement rule.
Abstract:
A method of reducing power consumption of a server cluster of host systems with virtual machines executing on the host systems is provided. The method includes recommending host system power-on when there is a host system whose utilization is above a target utilization, and recommending host system power-off when there is a host system whose utilization is below the target utilization. Recommending host system power-on includes calculating impact of powering on a standby host system with respect to reducing the number of highly-utilized host systems in the server cluster. Recommending host system power-off includes calculating impact of powering off a host system with respect to decreasing the number of less-utilized host systems in the server cluster.