Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: Systems and methods for optimizing storage system performance are disclosed. A method includes: determining an expected lifetime of each of at least one computing instance; determining a disk data extent evaluation period for each of the at least one computing instance based on the determined expected lifetime; determining an input/output (I/O) wait time threshold for each of the at least one computing instance; determining an I/O wait time of each of the at least one computing instance using the determined disk data extent evaluation period; and in response to the determined I/O wait time of one or more of the at least one computing instance exceeding the determined I/O wait time threshold of the computing instance, moving at least one data extent associated with the one or more computing instance exceeding the determined I/O wait time threshold from hard disk drive storage to solid state drive storage.

Abstract: Systems and methods for optimizing storage system performance are disclosed. A method includes: determining an expected lifetime of each of at least one computing instance; determining a disk data extent evaluation period for each of the at least one computing instance based on the determined expected lifetime; determining an input/output (I/O) wait time threshold for each of the at least one computing instance; determining an I/O wait time of each of the at least one computing instance using the determined disk data extent evaluation period; and in response to the determined I/O wait time of one or more of the at least one computing instance exceeding the determined I/O wait time threshold of the computing instance, moving at least one data extent associated with the one or more computing instance exceeding the determined I/O wait time threshold from hard disk drive storage to solid state drive storage.

Abstract: Systems and methods for optimizing storage system performance are disclosed. A method includes: determining an expected lifetime of each of at least one computing instance; determining a disk data extent evaluation period for each of the at least one computing instance based on the determined expected lifetime; determining an input/output (I/O) wait time threshold for each of the at least one computing instance; determining an I/O wait time of each of the at least one computing instance using the determined disk data extent evaluation period; and in response to the determined I/O wait time of one or more of the at least one computing instance exceeding the determined I/O wait time threshold of the computing instance, moving at least one data extent associated with the one or more computing instance exceeding the determined I/O wait time threshold from hard disk drive storage to solid state drive storage.

Abstract: Systems and methods for optimizing storage system performance are disclosed. A method includes: determining an expected lifetime of each of at least one computing instance; determining a disk data extent evaluation period for each of the at least one computing instance based on the determined expected lifetime; determining an input/output (I/O) wait time threshold for each of the at least one computing instance; determining an I/O wait time of each of the at least one computing instance using the determined disk data extent evaluation period; and in response to the determined I/O wait time of one or more of the at least one computing instance exceeding the determined I/O wait time threshold of the computing instance, moving at least one data extent associated with the one or more computing instance exceeding the determined I/O wait time threshold from hard disk drive storage to solid state drive storage.

Abstract: Systems and methods for optimizing storage system performance are disclosed. A method includes: determining an expected lifetime of each of at least one computing instance; determining a disk data extent evaluation period for each of the at least one computing instance based on the determined expected lifetime; determining an input/output (I/O) wait time threshold for each of the at least one computing instance; determining an I/O wait time of each of the at least one computing instance using the determined disk data extent evaluation period; and in response to the determined I/O wait time of one or more of the at least one computing instance exceeding the determined I/O wait time threshold of the computing instance, moving at least one data extent associated with the one or more computing instance exceeding the determined I/O wait time threshold from hard disk drive storage to solid state drive storage.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor with its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: A method, system and computer program product for efficiently utilizing a virtual file system cache across cloud computing nodes. A determination is made as to which hypervisors will be able to share all or a portion of the memory in its cache module (look-aside cache) to become a hypervisor in a “pool of hypervisors” based on the workload of the virtual machines run by the hypervisor. All or a portion of the memory in the cache module in each hypervisor in the pool of hypervisors that is available to be utilized by other virtual machines is allocated to form a “shared cache module” to be utilized by virtual machines run by the pool of hypervisors. In this manner, the look-aside cache available to the hypervisor will be utilized more effectively since any available memory can be utilized by other virtual machines running on different hypervisors on different cloud computing nodes.

Abstract: A method, system and computer program product for efficiently utilizing a virtual file system cache across cloud computing nodes. A determination is made as to which hypervisors will be able to share all or a portion of the memory in its cache module (look-aside cache) to become a hypervisor in a “pool of hypervisors” based on the workload of the virtual machines run by the hypervisor. All or a portion of the memory in the cache module in each hypervisor in the pool of hypervisors that is available to be utilized by other virtual machines is allocated to form a “shared cache module” to be utilized by virtual machines run by the pool of hypervisors. In this manner, the look-aside cache available to the hypervisor will be utilized more effectively since any available memory can be utilized by other virtual machines running on different hypervisors on different cloud computing nodes.