International Business Machines Corporation

Qais Noorshams

Norman Christopher Böwing

Dieter Wellerdiek

Pradeep Parameshwaran

Marco Selig

Simon Spinner

Tobias Orth

Eric Kass

Juergen Holtz

Horst Sinram

Tobias Huschle

Anastasiia Didkovska

Jason Matthew Stapels

Peter Klett

Norman C Böwing

In an approach to optimizing dynamic system reconfiguration, a computer receives an active system configuration and a target system configuration from a system administrator, where the target system configuration includes two or more logical partitions. A computer determines one or more reconfiguration actions required to transform the active system configuration to the target system configuration. A computer generates a dependency graph based on the determined reconfiguration actions. A computer divides the dependency graph along the two or more logical partitions. A computer sorts the determined reconfiguration actions by associated dependencies. A computer orders the determined reconfiguration actions based on a priority of each of the two or more logical partitions. A computer runs a first simulation of the determined reconfiguration actions for each of the two or more logical partitions. A computer performs the determined reconfiguration actions for each of the two or more logical partitions.

Dynamic system reconfiguration by partition

A computer-implemented method includes storing usage of a resource of said computer system as time-stamped resource usage values, comparing said time-stamped resource usage values with predetermined time-stamped performance goal values, assigning a time-stamped priority value to an application that is running based on at least one of said performance goal values, identifying a future workload demand value by applying a time-series analysis algorithm to at least some of said time-stamped resource usage values and a corresponding at least some of said time-stamped performance goal values for said application resulting in workload demand time frames and related amplitudes of said workload demand time frames, and adjusting a dispatch priority value for said application by setting a minimum dispatch priority for said application based on said future workload demand value.

Computer system workload manager

A method for selectively generating suggested default values for I/O configurations is provided. The method identifies a first selection including a first input value for an I/O configuration. The method determines a set of remaining input options based on the first selection. The method accesses a set of decision trees based on the set of remaining input options and selects a decision tree of the set of decision trees based on the first input value. The method generates a suggested value for a subsequent selection for the I/O configuration and causes presentation of the suggested value and a user interface element representing the subsequent selection.

Selective enhancement of interactive configuration interfaces

An embodiment of the invention may include a method, computer program product, and computer system for reconfiguration of a computing environment from an as-is input/output (I/O) configuration to a to-be I/O configuration. An embodiment may include normalizing respective hierarchical models of the as-is and the to-be I/O configurations. The hierarchical models each comprise a hierarchical structure of leaf and non-leaf nodes. Normalizing comprises the application of syntactical transformation rules to the hierarchical models such that their respective I/O configurations are defined in a syntactically consistent manner. An embodiment may include creating respective hash tree representations of the first hierarchical model and the second hierarchical model. Nodes of the hash tree representations are checksum values. Nodes of the hash tree representations reflect the hierarchical structure of their respective hierarchical models. An embodiment may include pruning one or more nodes of the hash tree representations.

Selective pruning of a system configuration model for system reconfigurations

A computer system may initialize one or more workloads. The computer system may operate in a boost mode and a regular mode. The boost mode may include an adjustment of a pacing setting and an adjustment of group availability targets for executing the one or more workloads. The computer system may identify that the boost mode is enabled during a system start of the computer system. The computer system may identify that the pacing setting is operating in the regular mode. The computer system may dynamically increase the pacing setting. The increase of the pacing setting may enable an increased processor utilization of the computer system by the one or more workloads. The increased processor utilization may generate a concurrent processing of the one or more workloads. The computer system may determine an end of the boost mode and reset the pacing setting.

Adaptive pacing setting for workload execution

Proactively performing tasks based on estimating hardware reconfiguration times. A determination is made, prior to performing one or more reconfiguration actions to reconfigure a configuration of the computing environment, at least one estimated reconfiguration time to perform the one or more reconfiguration actions. At least one reconfiguration action of the one or more reconfiguration actions is performed, and one or more tasks are initiated prior to completing the one or more reconfiguration actions. The initiating is based on the at least one estimated reconfiguration time.

Proactively performing tasks based on estimating hardware reconfiguration times

Performance predictions in a computing cluster can be provided by sampling and storing historic workload request data of the computing cluster as time-stamped workload values, forecasting an expected total number of workload requests for a defined time interval in the future based on a time-series analysis of the time-stamped workload values, where the time-series analysis detects cyclic and repeating events in the time-stamped workload values. In response to a result of the time-series analysis, training a workload prediction model by using additional data about acyclic events in expected workload requests, where the training applies a statistical regression technique for predicting a future workload demand for the computing cluster, and in response to exceeding a predefined threshold value of the predicted future workload demand, reassigning resources of the computing cluster.

Workload management for computing cluster

A computer-implemented method for metadata-based retention of personal data may be provided. The method comprises recording data by a recording system. The data comprise payload data and metadata comprising information about the payload data and an event type; and a rule is associated with the event type, wherein the rule is indicative whether the data shall be stored persistently or temporary. The method comprises further segmenting the recorded data into a plurality of non-overlapping data segments, encrypting each data segment of the plurality of non-overlapping data segments with a unique key each, transmitting the encrypted data segments wirelessly, and storing, using a secure service container, selected ones of the plurality of non-overlapping data segments as a function of the rule.

Access control of specific encrypted data segment

A method for enhancing a workload manager for a computer system includes sampling and storing usage of a resource of the computer system as resource usage values, comparing said resource usage values with predetermined performance goal values, assigning a time-stamped priority value to an application that is running based on at least one of the performance goal values by the workload manager, retrieving a portion of the resource usage values and a related portion of the performance goal values for the application, identifying a future workload demand value by applying a time-series analysis algorithm to the resource usage values and the performance goal values for the application resulting in workload demand time frames and related amplitudes of the workload demand time frames, and adjusting a dispatch priority value for the application by setting a minimum dispatch priority for the application based on the future workload demand value.

In one embodiment, in accordance with the present invention, a method, computer program product, and system for accessing non-functional host capabilities and services of a host operating system, by a guest operating system, are provided. The method includes a hypervisor, of a host OS, intercepting a hardware instruction from a guest operating system, wherein the hardware instruction is associated with data located in a register and in memory that is accessible by the hypervisor. The method further includes analyzing the hardware instruction and data to determine if the hardware instruction is a non-functional service request. The method further includes, upon determining that the hardware instruction is a non-functional service request, executing the related non-functional service request and writing a response to the associated memory. The method further includes notifying the guest operating system that the execution of the non-functional service request is complete and the response is available.

Accessing host services for virtual guest operating systems

A method for accessing non-functional host capabilities and services of a host operating system, by a guest operating system, is provided. The method includes receiving a function code and additional data from an application of a guest operating system, wherein the function code corresponds to a non-functional service request on a host operating system. The method further includes creating a parameter control block using the function code and the additional data in memory of the guest operating system, wherein the parameter control block is accessible by a hypervisor of the host operating system. The method further includes issuing a hardware instruction by the guest operating system, wherein the hypervisor of the host operating system receives control. The method further includes receiving a notification from the hypervisor that the execution of the non-functional service request is complete.

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Boeblingen, Germany

Qais Noorshams