Abstract: Embodiments relate to providing a data stream interface for offloading the inflation/deflation processing of data to a stateless compression accelerator. An aspect includes transmitting a request to inflate or deflate a data stream to a compression accelerator. The request may include references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state. The stream state is provided to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request. The compression accelerator is instructed to store a current stream state in the state data control block responsive to the request being a non-final request. Accordingly, the current stream state is received from the compression accelerator responsive to the request being a non-final request. The processed input data is received from the compression accelerator.

Abstract: Embodiments relate to facilitating a plurality of heterogeneous hosts to use a range of priority values. A method of facilitating a plurality of heterogeneous hosts to use a range of priority values is provided. The method retrieves a plurality of priority ranges from a plurality of network forwarding elements shared by a plurality of heterogeneous hosts. The network forwarding elements provide access to a set of storage devices that stores data for the plurality of heterogeneous hosts. The method generates, by a computer that comprises one of the heterogeneous hosts, a universal priority range from the plurality of priority ranges. The method maps a plurality of workloads performed by the computer to priority values in the universal priority range. The method sends the universal priority range to at least one other host of the heterogeneous hosts.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: Embodiments relate to providing a data stream interface for offloading the inflation/deflation processing of data to a stateless compression accelerator. An aspect includes transmitting a request to inflate or deflate a data stream to a compression accelerator. The request may include references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state. The stream state is provided to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request. The compression accelerator is instructed to store a current stream state in the state data control block responsive to the request being a non-final request. Accordingly, the current stream state is received from the compression accelerator responsive to the request being a non-final request. The processed input data is received from the compression accelerator.

Abstract: Embodiments of the disclosure relate to testing a software interface for a streaming hardware device through simulation. Methods include receiving, by a processor, a data manipulation request and a data segment associated with the data manipulation request and generating, by the software interface, an input data stream comprising control information and the data segment. The method also includes transmitting the input data stream to a simulation device and generating, by the simulation device, an output data stream in response to the input data stream, the output data stream including a delineator, control data, a manipulated data segment and a trailing delineator. The simulation device is configured to simulate the operation of the streaming hardware device by performing the data manipulation request.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: Embodiments of the disclosure include methods, systems and computer program products for performing a data manipulation function. The method includes receiving, by a processor, a request from an application to perform the data manipulation function and based on determining that a specialized hardware device configured to perform the data manipulation function is available, the method includes determining if executing the request on the specialized hardware device is viable. Based on determining that the request is viable to execute on the specialized hardware device, the method includes executing the request on the specialized hardware device.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: A method to reduce large temperature over/undershoot in a computer system. Using workload data, the method proactively modifies controls of mechanical cooling system to anticipate power and take appropriate actions to maintain temperature. Workload control modifies workload and scheduling to reduce power transients and subsequent temperature deviations. In addition, workload control allows more even distribution of temp across chips, allowing for even wear and reduction of small/ripple/noise temp oscillations. A system and program product for carrying out the method are also provided.

Abstract: Embodiments of the disclosure relate to testing a software interface for a streaming hardware device through simulation. Methods include receiving, by a processor, a data manipulation request and a data segment associated with the data manipulation request and generating, by the software interface, an input data stream comprising control information and the data segment. The method also includes transmitting the input data stream to a simulation device and generating, by the simulation device, an output data stream in response to the input data stream, the output data stream including a delineator, control data, a manipulated data segment and a trailing delineator. The simulation device is configured to simulate the operation of the streaming hardware device by performing the data manipulation request.

Abstract: Embodiments relate to providing a data stream interface for offloading the inflation/deflation processing of data to a stateless compression accelerator. An aspect includes transmitting a request to inflate or deflate a data stream to a compression accelerator. The request may include references to an input buffer for storing input data from the data stream, an output buffer for storing processed input data, and a state data control block for storing a stream state. The stream state is provided to the compression accelerator to continue processing the data stream responsive to the request being a subsequent request. The compression accelerator is instructed to store a current stream state in the state data control block responsive to the request being a non-final request. Accordingly, the current stream state is received from the compression accelerator responsive to the request being a non-final request. The processed input data is received from the compression accelerator.

Abstract: According to one embodiment of the present invention, a system, method and computer program product is provided for integrating an external workload manager with a database system. The method according to one embodiment includes a method comprises: receiving a request in a database component, the request including a cross component token; starting a new unit of work in workload management software in the database component, in response to the request; determining, from a cross component workload management unit, a transaction class and a synchronization code using the database component; finding an internal workload in the workload management software that matches the transaction class and the synchronization code of the cross component workload management unit; and using the matching internal workload for the new unit of work.

Abstract: A method to reduce large temperature over/undershoot in a computer system. Using workload data, the method proactively modifies controls of mechanical cooling system to anticipate power and take appropriate actions to maintain temperature. Workload control modifies workload and scheduling to reduce power transients and subsequent temperature deviations. In addition, workload control allows more even distribution of temp across chips, allowing for even wear and reduction of small/ripple/noise temp oscillations. A system and program product for carrying out the method are also provided.

Abstract: The configuration of the logical processors of a logical partition is managed dynamically. A logical partition is initially configured with one or more logical processors. Thereafter, the configuration can be dynamically adjusted. This dynamic adjustment may be in response to workload of the logical partition.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: An integrated hybrid system is provided. The hybrid system includes compute components of different types and architectures that are integrated and managed by a single point of control to provide federation and the presentation of the compute components as a single logical computing platform.

Abstract: A method and apparatus for managing CPU resources of a logically partitioned computing environment without shared memory access. A logical partition needing additional resources sends a message requesting such resources to a central domain manager, which sends messages to other partitions in the same group requesting that they assess their ability to donate resources to the requesting partition. Upon receiving such assessment request, each logical partition assesses its ability to donate resources to the requesting partition and responds accordingly to the domain manager. If at least one partition responds that it can donate resources to the requesting partition, the domain manager sends a message to a selected donor partition requesting that it reconfigure itself to donate resources to the requesting partition.

Abstract: According to one embodiment of the present invention, a system, method and computer program product is provided for integrating an external workload manager with a database system. The method according to one embodiment includes a method comprises: receiving a request in a database component, the request including a cross component token; starting a new unit of work in workload management software in the database component, in response to the request; determining, from a cross component workload management unit, a transaction class and a synchronization code using the database component; finding an internal workload in the workload management software that matches the transaction class and the synchronization code of the cross component workload management unit; and using the matching internal workload for the new unit of work.

Abstract: A method and apparatus for obtaining a local performance measure for a particular server in a particular tier in a transaction environment in which transactions pass through multiple tiers with multiple servers at each tier. The contribution from the particular server to the total end-to-end response time for a set of transactions is scaled by the ratio of transactions passing through the particular tier to transactions passing through the particular server to obtain a scaled contribution from the particular tier. This is added to the contribution from outside the particular tier to obtain a modified total end-to-end response time from the perspective of the particular server. The modified total end-to-end response time is divided by the number of transactions in the set to obtain a modified average end-to-end response time from the perspective of the particular server, which is used to control allocation of resources to the server.