Abstract: Methods, systems and computer program products for load balancing using Mobile Internet Protocol (IP) Version 6 are provided. A request for a connection is received from a client at a routing stack. A Mobile IP Version 6 Binding Update message is transmitted from the routing stack to the client responsive to the received request. The Binding Update message identifies a selected target stack so as to allow the client to communicate directly with the target stack bypassing the routing stack.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective storage controller. An I/O latency value threshold is determined. Responsive to a change to the I/O latency value exceeding a threshold, storage volume distribution among the storage controllers is rebalanced.

Abstract: Components are dynamically associated in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. This includes defining, in a memory of a host computing system, a pattern that has an inventory of components of a multi-tier application. Each of the components are associated with a corresponding tier label for an n-tier architecture and the pattern is loaded into a pattern engine. The pattern engine deploys each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, input/output (I/O) latency, network bandwidth utilization, and network latency associated with each storage volume controlled by a respective storage controller. Responsive to receiving a request to allocate a new storage volume, a type of application and an anticipated storage workload level that will utilize one or more of the storage volumes by the application is determined. The I/O latency, network bandwidth utilization, and network latency is analyzed relative to respective thresholds, and the new storage volume is allocated to a selected storage controller based on the analysis and the anticipated storage workload level.

Abstract: Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, input/output (I/O) latency, network bandwidth utilization, and network latency associated with each storage volume controlled by a respective storage controller. Responsive to receiving a request to allocate a new storage volume, a type of application and an anticipated storage workload level that will utilize one or more of the storage volumes by the application is determined. The I/O latency, network bandwidth utilization, and network latency is analyzed relative to respective thresholds, and the new storage volume is allocated to a selected storage controller based on the analysis and the anticipated storage workload level.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective storage controller. An I/O latency value threshold is determined. Responsive to a change to the I/O latency value exceeding a threshold, storage volume distribution among the storage controllers is rebalanced.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective storage controller. A network bandwidth utilization value and a network latency value corresponding to each storage controller is also monitored. An I/O latency value threshold, a network bandwidth utilization threshold, and a network latency value threshold is determined. Responsive to at least one of the I/O latency value, the network bandwidth utilization value and the network latency value for at least one storage controller exceeding a respective threshold, storage volume distribution among the storage controllers is rebalanced.

Abstract: Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Abstract: A method, system and computer program product for selecting hypervisor platforms that are best suited to process application workloads. Attribute requirements for an application workload, such as high CPU capacity, high power and low cost, are received. A ranking algorithm is then applied to a list of pools of compute nodes to identify an ordered list of pools of compute nodes that are best suited for satisfying the attribute requirements of the application workload by comparing hypervisor characteristics of the pools of compute nodes with the attribute requirements of the application workload. Each pool of compute nodes runs on a particular hypervisor platform which has a unique combination of characteristics that correspond to a combination of a set of attribute requirements (e.g., medium CPU/memory/disk capacity; high CPU and memory performance). In this manner, the hypervisor platforms that are best suited for satisfying the application workload requirements are identified.

Abstract: A method, system and computer program product for selecting hypervisor platforms that are best suited to process application workloads. Attribute requirements for an application workload, such as high CPU capacity, high power and low cost, are received. A ranking algorithm is then applied to a list of pools of compute nodes to identify an ordered list of pools of compute nodes that are best suited for satisfying the attribute requirements of the application workload by comparing hypervisor characteristics of the pools of compute nodes with the attribute requirements of the application workload. Each pool of compute nodes runs on a particular hypervisor platform which has a unique combination of characteristics that correspond to a combination of a set of attribute requirements (e.g., medium CPU/memory/disk capacity; high CPU and memory performance). In this manner, the hypervisor platforms that are best suited for satisfying the application workload requirements are identified.

Abstract: Methods, systems and computer program products for load balancing using Mobile Internet Protocol (IP) Version 6 are provided. A request for a connection is received from a client at a routing stack. A Mobile IP Version 6 Binding Update message is transmitted from the routing stack to the client responsive to the received request. The Binding Update message identifies a selected target stack so as to allow the client to communicate directly with the target stack bypassing the routing stack.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective storage controller. A network bandwidth utilization value and a network latency value corresponding to each storage controller is also monitored. An I/O latency value threshold, a network bandwidth utilization threshold, and a network latency value threshold is determined. Responsive to at least one of the I/O latency value, the network bandwidth utilization value and the network latency value for at least one storage controller exceeding a respective threshold, storage volume distribution among the storage controllers is rebalanced.

Abstract: Methods, systems and computer program products for load balancing using Mobile Internet Protocol (IP) Version 6 are provided. A request for a connection is received from a client at a routing stack. A Mobile IP Version 6 Binding Update message is transmitted from the routing stack to the client responsive to the received request. The Binding Update message identifies a selected target stack so as to allow the client to communicate directly with the target stack bypassing the routing stack.

Abstract: A method, system and computer program product for allocating compute nodes among cloud groups. Policies are created for cloud groups for specifying conditions when a compute node will need to be borrowed by a cloud group as well as when the borrowed compute node is to be returned. Furthermore, priorities are assigned to the conditions in the policies for borrowing a compute node as well as to the cloud groups concerning borrowing compute nodes. A compute node is allocated temporarily from a first cloud group to a second cloud group based on the priority assigned to the second cloud group and the priority assigned to the monitored condition invoking the borrowing of the compute node as well as based on the monitored condition satisfying a condition in the policy for the second cloud group as to when the compute node will need to be borrowed by the second cloud group.

Abstract: A method, system and computer program product for deploying a pattern. A placement engine of a hierarchical tier selects the region(s) of a next lower tier based on placement policies and constraints at the next lower tier and availability of the artifacts required by the virtual machine instance(s) in the next lower tier utilizing the summarization of resource usage and availability at the next lower tier. The placement engine at the lowest tier selects the compute node(s) in the selected region(s) of the lowest tier to place the virtual machine instances of the pattern based on placement policies and constraints at the compute node level and availability of the artifacts required by the virtual machine instance(s) of the pattern in the compute node level. In this manner, the virtual machine instances of the pattern can be effectively deployed when the resources of the cloud environment are large and geographically dispersed.

Abstract: A method, system and computer program product for determining a relative priority for a job. A “policy” is selected based on the job itself and the reason that the job is being executed, where the policy includes a priority range for the job and for an application. A priority for the job that is within the priority range of the job as established by the selected policy is determined based on environmental and context considerations. This job priority is then adjusted based on the priority of the application (within the priority range as established by the policy) becoming the job's final priority. By formulating a priority that more accurately reflects the true priority or importance of the job by taking into consideration the environmental and context considerations, job managers will now be able to process these jobs in a more efficient manner.