Abstract: There is a method and system for capability-based resource allocation in a software-defined environment that performs the following steps (not necessarily in the following order): (i) determining a set of capability characteristics for a plurality of workload resources within a software-defined environment; (ii) determining a set of workload components for a specified workload; and (iii) identifying a set of workload resources from the plurality of workload resources to allocate to the specified workload based, at least in part, on the set of capability characteristics corresponding to each workload within the set of workload resources. A workload component of the set of workload components has a unique set of workload characteristics.

Abstract: A method and system for outcome-based adjustment of a software-defined environment (SDE) that includes establishing a link between a business outcome and a first resource configuration from software defined environment, establishing a monitoring mechanism for continuously measuring a current state of the SDE, using a behavior model of the SDE to anticipate, or forecast, a triggering event, and responsive to the forecast of a triggering event, using the behavior model to determine a second resource configuration to achieve the business outcome. The link includes at least one of a utility of services for the business outcome, a cost of a set of resources consumed by the first resource configuration, and a risk of the set of resources becoming unavailable.

Abstract: A mechanism is provided for optimizing network communications. A first data transfer request is received via a first application level socket connection in an originating computing device. Prior to opening a kernel level socket connection to a destination computing device, a determination is made as to whether a second data transfer request has been received via a second application level socket connection in the originating computing device, the second data transfer request identifying a destination computing device that is the same as the destination computing device as the first data transfer request. Responsive to identifying the second data transfer request, the first data transfer request and the second data transfer request are coalesced into a third data transfer request stored in a single kernel level socket buffer of the originating computing device. The third data transfer request is then sent to the destination computing device via a single TCP/IP stack.

Abstract: A mechanism is provided for optimizing network communications. A first data transfer request is received via a first application level socket connection in an originating computing device. Prior to opening a kernel level socket connection to a destination computing device, a determination is made as to whether a second data transfer request has been received via a second application level socket connection in the originating computing device, the second data transfer request identifying a destination computing device that is the same as the destination computing device as the first data transfer request. Responsive to identifying the second data transfer request, the first data transfer request and the second data transfer request are coalesced into a third data transfer request stored in a single kernel level socket buffer of the originating computing device. The third data transfer request is then sent to the destination computing device via a single TCP/IP stack.

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. Each hardware component in a data center of the cloud computing environment detects and identifies other hardware components within a communication range of the hardware component using a wireless protocol. Furthermore, each hardware component determines its actual location as well as its relative location with respect to the detected hardware components, such as based on a triangulation of the wireless signals. Such information is transmitted to an administrative server. An inventory of the hardware components in the data center, including their current location, is then compiled by the administrative server. In this manner, a hardware component can be more easily located after being relocated in the data center. Furthermore, the administrative server will be able to balance a workload across these hardware components based on their location.

Abstract: A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Abstract: A method, system and computer program product for managing hardware components in a cloud computing environment. Each hardware component in a data center of the cloud computing environment detects and identifies other hardware components within a communication range of the hardware component using a wireless protocol. Furthermore, each hardware component determines its actual location as well as its relative location with respect to the detected hardware components, such as based on a triangulation of the wireless signals. Such information is transmitted to an administrative server. An inventory of the hardware components in the data center, including their current location, is then compiled by the administrative server. In this manner, a hardware component can be more easily located after being relocated in the data center. Furthermore, the administrative server will be able to balance a workload across these hardware components based on their location.

Abstract: A mechanism is provided for optimizing network communications. A first data transfer request is received via a first application level socket connection in an originating computing device. Prior to opening a kernel level socket connection to a destination computing device, a determination is made as to whether a second data transfer request has been received via a second application level socket connection in the originating computing device, the second data transfer request identifying a destination computing device that is the same as the destination computing device as the first data transfer request. Responsive to identifying the second data transfer request, the first data transfer request and the second data transfer request are coalesced into a third data transfer request stored in a single kernel level socket buffer of the originating computing device. The third data transfer request is then sent to the destination computing device via a single TCP/IP stack.

Abstract: A mechanism is provided for optimizing network communications. A first data transfer request is received via a first application level socket connection in an originating computing device. Prior to opening a kernel level socket connection to a destination computing device, a determination is made as to whether a second data transfer request has been received via a second application level socket connection in the originating computing device, the second data transfer request identifying a destination computing device that is the same as the destination computing device as the first data transfer request. Responsive to identifying the second data transfer request, the first data transfer request and the second data transfer request are coalesced into a third data transfer request stored in a single kernel level socket buffer of the originating computing device. The third data transfer request is then sent to the destination computing device via a single TCP/IP stack.

Abstract: Embodiments of the disclosure relate to managing a memory of a server hosting a plurality of virtual machines. Aspects include receiving a plurality of data pages from each of the plurality of virtual machines to be stored in the memory, filtering each the plurality of data pages into one of a plurality of pools of data pages including a pool of potentially identical data pages, and evaluating the data pages in the pool of potentially identical data pages to identify one or more duplicate data pages and one or more similar data pages. Aspects further include coalescing data pages identified as duplicate data pages and encoding differences for data pages identified as similar pages.

Abstract: Embodiments of the disclosure relate to managing a memory of a server hosting a plurality of virtual machines. Aspects include receiving a plurality of data pages from each of the plurality of virtual machines to be stored in the memory, filtering each the plurality of data pages into one of a plurality of pools of data pages including a pool of potentially identical data pages, and evaluating the data pages in the pool of potentially identical data pages to identify one or more duplicate data pages and one or more similar data pages. Aspects further include coalescing data pages identified as duplicate data pages and encoding differences for data pages identified as similar pages.

Abstract: A method, system and apparatus for configuring programmatic objects for cache co-location. The method can include the steps of counting a frequency of access for individual fields in the object in a static analysis, rearranging the fields in the object based upon the counted frequency in the static analysis, and executing the object. Subsequently, a frequency of access for the individual fields in the object further can be counted in a dynamic analysis. Consequently, the fields in the object can be further rearranged based upon the counted frequency in the dynamic analysis to produce an optimal grouping for placement in cache memory. In a preferred aspect of the invention, access types for the individual fields can be identified. Subsequently, the rearranging step and the further rearranging step can be performed based both upon the counted frequency and also upon the access types.

Abstract: An instantiable virtual machine part definition and part configuration metadata of an instantiable virtual machine capable of deployment as at least a portion of a service solution is received from a master overloaded virtual image. A determination is made as to whether to configure the instantiable virtual machine to reuse, using virtual image sharing, at least one portion of the master overloaded virtual image during deployment of the instantiable virtual machine within a service solution. A minimal executable virtual machine part core of the instantiable virtual machine that reuses, using the virtual image sharing, the at least one portion of the master overloaded virtual image during execution is identified. A minimal executable virtual machine part instantiable from the identified minimal executable virtual machine part core as the instantiable virtual machine is configured to utilize, using the virtual image sharing, a shared resource within the master overloaded virtual image during execution.

Abstract: A method, system and apparatus for configuring programmatic objects for cache co-location. The method can include the steps of counting a frequency of access for individual fields in the object in a static analysis, rearranging the fields in the object based upon the counted frequency in the static analysis, and executing the object. Subsequently, a frequency of access for the individual fields in the object further can be counted in a dynamic analysis. Consequently, the fields in the object can be further rearranged based upon the counted frequency in the dynamic analysis to produce an optimal grouping for placement in cache memory. In a preferred aspect of the invention, access types for the individual fields can be identified. Subsequently, the rearranging step and the further rearranging step can be performed based both upon the counted frequency and also upon the access types.

Abstract: A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Abstract: A method, system and computer program product for performing maintenance operations on a cloud computing node. An administrative server receives an indication that a maintenance operation is to be performed on a cloud computing node. The administrative server identifies which virtual machine(s) on the cloud computing node will be affected by the maintenance operation. The administrative server relocates the virtual machine(s) to be affected by the maintenance operation to other suitable cloud computing node(s) prior to the maintenance operation being performed. The administrative server then performs the maintenance operation on the cloud computing node. The virtual machine(s) may be relocated back to the cloud computing node after the maintenance operation is completed in response to a need to rebalance resources in such a manner. In this manner, maintenance operations may be performed on a cloud computing node without requiring to stop all the virtual machines in the node.

Abstract: A method, system and computer program product for managing and deploying physical and virtual environments across multiple hardware platforms. A single unit, referred to herein as a cloud construction block, contains both the hardware and software components used to build a cloud computing environment. By having such a single unit contain both the hardware and software components needed to build a cloud computing environment, the user no longer needs to purchase and integrate different hardware and software components. Furthermore, the cloud construction block contains modular pieces of hardware, such as compute hardware, memory hardware, storage hardware and network hardware, that are integrated with management software configured to manage both the hardware and the cloud computing environment in a seamlessly integrated package. Since there is a single management system, the management software allows the user to manage the modular pieces of hardware via a single user interface.

Abstract: A method, system and computer program product for performing maintenance operations on a cloud computing node. An administrative server receives an indication that a maintenance operation is to be performed on a cloud computing node. The administrative server identifies which virtual machine(s) on the cloud computing node will be affected by the maintenance operation. The administrative server relocates the virtual machine(s) to be affected by the maintenance operation to other suitable cloud computing node(s) prior to the maintenance operation being performed. The administrative server then performs the maintenance operation on the cloud computing node. The virtual machine(s) may be relocated back to the cloud computing node after the maintenance operation is completed in response to a need to rebalance resources in such a manner. In this manner, maintenance operations may be performed on a cloud computing node without requiring to stop all the virtual machines in the node.

Abstract: A method, system and computer program product for managing and deploying physical and virtual environments across multiple hardware platforms. A single unit, referred to herein as a cloud construction block, contains both the hardware and software components used to build a cloud computing environment. By having such a single unit contain both the hardware and software components needed to build a cloud computing environment, the user no longer needs to purchase and integrate different hardware and software components. Furthermore, the cloud construction block contains modular pieces of hardware, such as compute hardware, memory hardware, storage hardware and network hardware, that are integrated with management software configured to manage both the hardware and the cloud computing environment in a seamlessly integrated package. Since there is a single management system, the management software allows the user to manage the modular pieces of hardware via a single user interface.

Abstract: A method, system and computer program product for dynamically building a set of compute nodes to host a user's workload. An administrative server receives workload definitions that include the types of workloads that are to be run in a cloud group as well as a number of instances of each workload the cloud group should support. These workload definitions are used to determine the virtual machine demands that the cloud group will place on the cloud environment. The administrative server further receives the demand constraints, placement constraints and license enforcement policies. The administrative server identifies a set of compute nodes to host the user's workload based on the virtual machines demands, the demand constraints, the placement constraints and the license enforcement policies. In this manner, a set of compute nodes is dynamically built for consideration in forming a cloud group without the user requiring knowledge of the cloud's composition.