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, 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, 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. 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: A method and a system for enabling resource consumption for one or more applications running in a virtual production environment within a production environment based on a testing analysis. The method and system includes generating a multi-stage virtual computing environment within a computing production environment. A software application can run in the virtual computing environment. The method and system provides access to resources in the computing production environment from the virtual computing environment. The method and system allows the software application access to the computing production environment based on a testing analysis and uses abstraction layers to control allocation of resources in the production environment.

Abstract: A method and a system for enabling resource consumption for one or more applications running in a virtual production environment within a production environment based on a testing analysis. The method and system includes generating a multi-stage virtual computing environment within a computing production environment. A software application can run in the virtual computing environment. The method and system provides access to resources in the computing production environment from the virtual computing environment. The method and system allows the software application access to the computing production environment based on a testing analysis and uses abstraction layers to control allocation of resources in the production environment.

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. A mobile device captures an image of a bar code placed on a rack that is associated with an identifier that references an Internet resource of the management software that manages the rack. The mobile device transmits a request to the management software for information regarding a component in the rack, where the request includes a unique identifier (e.g., serial number) associated with the component. The management software uses the unique identifier to identify the component of interest and transmits information regarding the component of interest to the mobile device. In this manner, the client device can conveniently access the management software as well as conveniently acquire information dynamically from the management software about specific hardware components in these racks while the user is on the floor of the data center.

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: A method, system and computer program product for managing hardware components in a cloud computing environment. A mobile device captures an image of a bar code placed on a rack that is associated with an identifier that references an Internet resource of the management software that manages the rack. The mobile device transmits a request to the management software for information regarding a component in the rack, where the request includes a unique identifier (e.g., serial number) associated with the component. The management software uses the unique identifier to identify the component of interest and transmits information regarding the component of interest to the mobile device. In this manner, the client device can conveniently access the management software as well as conveniently acquire information dynamically from the management software about specific hardware components in these racks while the user is on the floor of the data center.

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. A mobile device captures an image of a bar code placed on a rack that is associated with an identifier that references an Internet resource of the management software that manages the rack. The mobile device transmits a request to the management software for information regarding a component in the rack, where the request includes a unique identifier (e.g., serial number) associated with the component. The management software uses the unique identifier to identify the component of interest and transmits information regarding the component of interest to the mobile device. In this manner, the client device can conveniently access the management software as well as conveniently acquire information dynamically from the management software about specific hardware components in these racks while the user is on the floor of the data center.

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. A mobile device captures an image of a bar code placed on a rack that is associated with an identifier that references an Internet resource of the management software that manages the rack. The mobile device transmits a request to the management software for information regarding a component in the rack, where the request includes a unique identifier (e.g., serial number) associated with the component. The management software uses the unique identifier to identify the component of interest and transmits information regarding the component of interest to the mobile device. In this manner, the client device can conveniently access the management software as well as conveniently acquire information dynamically from the management software about specific hardware components in these racks while the user is on the floor of the data center.

Abstract: A method and technique for allocation and balancing of storage resources includes: determining, 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; determining network bandwidth utilization and network latency values corresponding to each storage controller; responsive to receiving a request to allocate a new storage volume, selecting a storage controller having a desired I/O latency value; determining whether the network bandwidth utilization and network latency values for the selected storage controller are below respective network bandwidth utilization and network latency value thresholds; and responsive to determining that the network bandwidth utilization and network latency values for the selected storage controller are below the respective thresholds, allocating the new storage volume to the selected storage controller.

Abstract: A method and a system for enabling resource consumption for one or more applications running in a virtual production environment within a production environment based on a testing analysis. The method and system includes generating a multi-stage virtual computing environment within a computing production environment. A software application can run in the virtual computing environment. The method and system provides access to resources in the computing production environment from the virtual computing environment. The method and system allows the software application access to the computing production environment based on a testing analysis and uses abstraction layers to control allocation of resources in the production environment.

Abstract: A method and a system for enabling resource consumption for one or more applications running in a virtual production environment within a production environment based on a testing analysis. The method and system includes generating a multi-stage virtual computing environment within a computing production environment. A software application can run in the virtual computing environment. The method and system provides access to resources in the computing production environment from the virtual computing environment. The method and system allows the software application access to the computing production environment based on a testing analysis and uses abstraction layers to control allocation of resources in the production environment.

Abstract: A method and technique for allocation and balancing of storage resources includes: determining, 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; determining network bandwidth utilization and network latency values corresponding to each storage controller; responsive to receiving a request to allocate a new storage volume, selecting a storage controller having a desired I/O latency value; determining whether the network bandwidth utilization and network latency values for the selected storage controller are below respective network bandwidth utilization and network latency value thresholds; and responsive to determining that the network bandwidth utilization and network latency values for the selected storage controller are below the respective thresholds, allocating the new storage volume to the selected storage controller.

Abstract: A method and technique for allocation and balancing of storage resources includes: determining, 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; determining network bandwidth utilization and network latency values corresponding to each storage controller; responsive to receiving a request to allocate a new storage volume, selecting a storage controller having a desired I/O latency value; determining whether the network bandwidth utilization and network latency values for the selected storage controller are below respective network bandwidth utilization and network latency value thresholds; and responsive to determining that the network bandwidth utilization and network latency values for the selected storage controller are below the respective thresholds, allocating the new storage volume to the selected storage controller.

Abstract: A system and technique for allocating and balancing storage resources includes: a plurality of storage controllers each controlling one or more storage volumes, and a processor unit operable to execute a management application to: determine, for each controller, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective controller; determine network bandwidth utilization and network latency values corresponding to each controller; responsive to a request to allocate a new storage volume, select a controller having a desired I/O latency value; determine whether the network bandwidth utilization and network latency values for the selected controller are below respective network bandwidth utilization and network latency value thresholds; and responsive to determining that the network bandwidth utilization and network latency values for the selected controller are below respective thresholds, allocate the new storage volume to the selected controller

Abstract: A system and technique for allocating and balancing storage resources includes: a plurality of storage controllers each controlling one or more storage volumes, and a processor unit operable to execute a management application to: determine, for each controller, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective controller; determine network bandwidth utilization and network latency values corresponding to each controller; responsive to a request to allocate a new storage volume, select a controller having a desired I/O latency value; determine whether the network bandwidth utilization and network latency values for the selected controller are below respective network bandwidth utilization and network latency value thresholds; and responsive to determining that the network bandwidth utilization and network latency values for the selected controller are below respective thresholds, allocate the new storage volume to the selected controller

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. A mobile device captures an image of a bar code placed on a rack that is associated with an identifier that references an Internet resource of the management software that manages the rack. The mobile device transmits a request to the management software for information regarding a component in the rack, where the request includes a unique identifier (e.g., serial number) associated with the component. The management software uses the unique identifier to identify the component of interest and transmits information regarding the component of interest to the mobile device. In this manner, the client device can conveniently access the management software as well as conveniently acquire information dynamically from the management software about specific hardware components in these racks while the user is on the floor of the data center.