摘要:
A software development service offering of constructing and embedding feedback control based algorithms into computer systems management software applications is delivered by a provider entity to a client organization. The provider is contracted by the client to prepare a set of control modeling assets based on identified computing system management problems and goals of the diem and to create a set of control solutions. Bi-directional links between the problems, assets and solutions are used by the provider to develop feedback control based algorithms that solve the identified client computing management problems and meet the client's computing system goals.
摘要:
Improved management feedback-based controller techniques are disclosed for use in accordance with a computing system. For example, a method for managing a computing system includes the following steps. At least one measured performance metric is obtained from the computing system being managed. At least one control input value is generated based on parameters including a control error and a control deadzone such that uncertainty associated with the computing system is accounted for in accordance with the parameters. The control error is determined from a computation comprising the at least one measured performance metric and at least one performance metric goal. The control deadzone is defined such that the control input value is not generated when the control error is within the control deadzone. The control input value is sent to the computing system to effectuate achievement of the at least one performance metric goal associated with the computing system.
摘要:
In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.
摘要:
The invention broadly and generally provides a database comprising at least one record, the aforesaid at least one record comprising: (a) solution metadata relating to an information technology solution; and (b) evaluation metadata relating to a complexity evaluation of the aforesaid information technology solution.
摘要:
The invention broadly and generally provides a method of quantifying the complexity of an information technology management process, the aforesaid method comprising: (a) obtaining process-related data for the aforesaid information technology management process; wherein the aforesaid process-related data defines: at least one task, at least one role, and any number of business items which can be transferred between a plurality of roles within the aforesaid at least one role while executing the aforesaid at least one task; (b) creating a set of process component complexity metrics by applying a process complexity model to the aforesaid process-related data, the aforesaid process complexity model comprising at least one relationship of properties selected from the roles, tasks, and business items; and (c) creating a value representing the complexity of the aforesaid information technology management process from the aforesaid set of process component complexity metrics. The method disclosed is particularly useful, where the aforesaid process-related data defines at least one task comprising a decision point.
摘要:
In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.
摘要:
An improved method and system for performing dynamic online multi-parameter optimization for autonomic computing systems are provided. With the method and system of the present invention, a simplex, i.e. a set of points in the parameter space that has been directly sampled, is maintained. The system's performance with regard to a particular utility value is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. The method and system provide mechanisms for limiting the size of the simplex that is generated through these geometric transformations so that the present invention may be implemented in noisy environments in which the same configuration settings may lead to different results with regard to the utility value. In addition, mechanisms are provided for resampling a current best point in the simplex to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, then rather than contracting, the simplex is expanded. If the difference between utility values is not sufficient enough, then contraction of the simplex is performed. In addition, in order to allow for both real and integer valued parameters in the simplex, a mechanism is provided by which invalid valued parameters that are generated by geometric transformations being performed on the simplex are mapped to a nearest valid value. Similarly, parameter values that violate constraints are mapped to values that satisfy constraints taking care that the dimensionality of the simplex is not reduced.
摘要:
An exemplary method for reducing complexity of at least one user task includes steps of calculating a complexity metric for the at least one user task; identifying one or more usability issues having a measurable impact on the complexity metric for the at least one user task; determining one or more recommendations for addressing at least one of the one or more usability issues; and displaying a representation of at least one of the one or more usability issues and of at least one of the one or more recommendations. In an illustrative embodiment, implementing any one of the one or more recommendations reduces the impact of the usability issue on the complexity metric of the at least one user task and thereby reduces a complexity of the at least one user task.
摘要:
Methods and systems are provided for tuning memory allocated among a plurality of applications in a data processing system. In one implementation, the method includes generating memory benefit data for the plurality of applications, comparing the generated memory benefit data associated with each of the plurality of applications, and dynamically reallocating memory from one or more of the plurality of applications to one or more other of the plurality of applications based on the comparison. A method and system is also provided for tuning memory allocated among a plurality of individual memory consumers for a given application.
摘要:
Techniques for managing feedback control systems are provided. By way of example, a method of controlling performance of a managed system by a controller includes the following steps/operations. The controller issues a control value to the managed system to affect a performance of the managed system. The controller maintains a measurement time period having a variable start time within which the performance of the managed system is measured, such that the control value is given time to take effect on the managed system and a performance metric fed back to the controller from the managed system reflects the effect of the control value on the managed system.