Abstract: According to an embodiment of the present invention, a system assigns at least one workload a hard share quantity and at least one other workload a soft share quantity or a hard share quantity. The system allocates a resource to the workloads based on the hard share quantity and the soft share quantity of active workloads in a predefined interval. A hard share quantity indicates a maximum resource allocation and a soft share quantity enables allocation of additional available processor time. Embodiments of the present invention further include a method and computer program product for allocating a resource to workloads in substantially the same manner as described above.

Abstract: According to an embodiment of the present invention, a system assigns at least one workload a hard share quantity and at least one other workload a soft share quantity or a hard share quantity. The system allocates a resource to the workloads based on the hard share quantity and the soft share quantity of active workloads in a predefined interval. A hard share quantity indicates a maximum resource allocation and a soft share quantity enables allocation of additional available processor time. Embodiments of the present invention further include a method and computer program product for allocating a resource to workloads in substantially the same manner as described above.

Abstract: According to an embodiment of the present invention, a system assigns at least one workload a hard share quantity and at least one other workload a soft share quantity or a hard share quantity. The system allocates a resource to the workloads based on the hard share quantity and the soft share quantity of active workloads in a predefined interval. A hard share quantity indicates a maximum resource allocation and a soft share quantity enables allocation of additional available processor time. Embodiments of the present invention further include a method and computer program product for allocating a resource to workloads in substantially the same manner as described above.

Abstract: A monitoring of a server system during an execution of a server system processing logic, includes: during collection and storage of operational metrics by a given thread in a thread-local memory, determining that a checkpoint within the server system processing logic is reached; determining whether a threshold number of checkpoints have been encountered by the given thread; in response to the threshold number of checkpoints having been encountered, determining whether a threshold time interval since a last rollup of the collected operational metrics has been exceeded; and in response to the threshold time interval being exceeded, performing a rollup of the collected operational metrics from the thread-local memory to an accumulation point in a shared memory, where the accumulation point stores aggregated operational metrics from a plurality of threads.

Abstract: A monitoring of a server system during an execution of a server system processing logic, includes: during collection and storage of operational metrics by a given thread in a thread-local memory, determining that a checkpoint within the server system processing logic is reached; determining whether a threshold number of checkpoints have been encountered by the given thread; in response to the threshold number of checkpoints having been encountered, determining whether a threshold time interval since a last rollup of the collected operational metrics has been exceeded; and in response to the threshold time interval being exceeded, performing a rollup of the collected operational metrics from the thread-local memory to an accumulation point in a shared memory, where the accumulation point stores aggregated operational metrics from a plurality of threads.

Abstract: A monitoring of a server system during an execution of a server system processing logic, includes: during collection and storage of operational metrics by a given thread in a thread-local memory, determining that a checkpoint within the server system processing logic is reached; determining whether a threshold number of checkpoints have been encountered by the given thread; in response to the threshold number of checkpoints having been encountered, determining whether a threshold time interval since a last rollup of the collected operational metrics has been exceeded; and in response to the threshold time interval being exceeded, performing a rollup of the collected operational metrics from the thread-local memory to an accumulation point in a shared memory, where the accumulation point stores aggregated operational metrics from a plurality of threads.