Abstract: In a computing system having swappable and non-swappable address spaces, wherein the computing system includes an operating system that includes a Real Storage Manager (RSM), a Systems Resource Manager (SRM) and a Region Control Task (RCT), a method for recovering swappable fixed non-preferred memory is provided which includes receiving a request from the operating system to configure an area of real memory to create an intercepted swappable address space, wherein the intercepted swappable address space includes a flagged fixed frame element identified for configuration, examining the intercepted swappable address space so as to determine if the intercepted swappable address space will remain swappable, requesting the SRM to coordinate the swapping process, quiescing the intercepted address space, generating a first return code responsive to the intercepted swappable address space remaining swappable, communicating the first return code to the RCT so as to cause the RCT to respond to the first return code, in

Abstract: The invention relates to the control of servers which process client work requests in a computer system on the basis of resource consumption. Each server contains multiple server instances (also called “execution units”) which execute different client work requests in parallel. A workload manager determines the total number of server containers and server instances in order to achieve the goals of the work requests. The number of server instances started in each server container depends on the resource consumption of the server instances in each container and on the resource constraints, service goals and service goal achievements of the work units to be executed. At predetermined intervals during the execution of the work units the server instances are sampled to check whether they are active or inactive.

Abstract: A partitioned processing system capable of supporting diverse operating system partitions is disclosed wherein throughput information is passed from a partition to a partition resource manager. The throughput information is used to create resource balancing directives for the partitioned resource. The processing system includes at least a first partition and a second partition. A partition resource manager is provided for receiving information about throughput from the second partition and determining resource balancing directives. A communicator communicates the resource balancing directives from the partition manager to a kernel in the second partition which allocates resources to the second partition according to the resource balancing directives received from the partition manager.

Abstract: A system and method for eliminating excessive spin conditions on systems implementing a LRU algorithm. This is achieved by limiting the amount of time a LRU task is allowed to run in any one invocation. If this time limit is exceeded before the LRU task has completed its processing, the LRU task will reschedule itself to run after a short time interval, record which frames have been processed so far, release its serialization resources, and exit to open a window of enablement. During this window, other processes that were spinning for the serialization resources can have a chance to run. When the LRU task runs again it will re-obtain the serialization resources and continue processing frames that were not previously processed. The above process will be repeated until all the appropriate frames in the system are in LRU order.

Abstract: In a computing system implementing a virtual memory system having real memory storage frames for storing virtual pages of data and an auxiliary storage system comprising auxiliary storage slots for storing copies of corresponding virtual pages, wherein I/O mechanisms are employed for effectuating transfer of data between auxiliary and real storage, a system and method for managing storage of unvirtualized dataset pages destined for auxiliary storage in a manner so to avoid I/O operations when assigning or moving VIO dataset data. The system and method is used to allow faster access to VIO data set pages by allowing that data to be kept in real storage.

Abstract: A technique is disclosed for managing a workload distributed across multiple data processing systems to enhance shared resource access to meet a common performance standard. The technique includes on at least one system, measuring performance of the work units on the system to create local performance data, and on at least some of the systems sending the local performance data to at least one other system of the multiple data processing systems. The method further includes on at least one of the systems, receiving the performance data from the sending systems to create remote performance data, and adjusting at least one control parameter for accessing shared resources in response to the local and remote performance data to modify the performance of the work units distributed across the data processing systems to achieve the common performance standard. A dynamic resource clustering process is also employed to enhance the shared resource management.

Abstract: A technique is disclosed for managing a workload distributed across multiple data processing systems to enhance shared resource access to meet a common performance standard. The technique includes on at least one system, measuring performance of the work units on the system to create local performance data, and on at least some of the systems sending the local performance data to at least one other system of the multiple data processing systems. The method further includes on at least one of the systems, receiving the performance data from the sending systems to create remote performance data, and adjusting at least one control parameter for accessing shared resources in response to the local and remote performance data to modify the performance of the work units distributed across the data processing systems to achieve the common performance standard. A dynamic resource clustering process is also employed to enhance the shared resource management.

Abstract: A method and apparatus for controlling the number of servers in a multisystem cluster. Incoming work requests are organized into service classes, each of which has a queue serviced by servers across the cluster. Each service class has defined for it a local performance index for each particular system of the cluster and a multisystem performance index for the cluster as a whole. Each system selects one service class as a donor class for donating system resources and another service class as a receiver class for receiving system resources, based upon how well the service classes are meeting their goals. Each system then determines the resource bottleneck causing the receiver class to miss its goals.

Abstract: A method and apparatus for controlling the number of servers in an information handling system in which incoming work requests belonging to a first service class are placed in a queue for processing by one or more servers. The system also has units of work assigned to a second service class that acts as a donor of system resources. In accordance with the invention, a performance measure is defined for the first service class as well as for the second service class. Before adding servers to the first service class, there is determined not only the positive effect on the performance measure for the first service class, but also the negative effect on the performance measure for the second service class. Servers are added to the first service class only if the positive effect on the performance measure for the first service class outweighs the negative effect on the performance measure for the second service class.

Abstract: A workload manager creates goal control data, defining two or more classes of system work units, in response to specification of goals of two or more goal types for the classes, and specification of importance values for each of the goal types. A system resource manager causes the goals to be met by periodically sampling work unit status; calculating a performance index for each class; selecting a receiver class to receive improved service based on the relative performance indexes and goal importance; a system bottleneck impacting achievement of goal by the receiver class is identified; and one or more system control data elements are identified and adjusted to cause the goal to be met for the receiver class.