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:
Systems and methods are provided for optimizing the performance and/or allocation of constrained resources in a dynamic computing environment using adaptive regulatory control methods. For example, systems and methods for providing constrained optimization in a dynamic computing system implement model-based adaptive (self-tuning) regulatory control schemes that are designed to handle the system dynamics and which take into consideration control costs (such as the overheads of changing resource allocations and performance degradation due to transient load imbalances) to find an optimal solution. To facilitate practical application, a dual control architecture is disclosed which combines a heuristic fixed step control process that is implemented when there is no valid system model for model-based control. A system model is continually obtained and validated during run-time to adapt control parameters to variations in system dynamics.
摘要:
A method for reducing oscillations of an output value associated with a program to be operatively coupled to a data processing system. The program having an internal process configured to read an input value provided by the program, the input value adjusting a performance aspect of the internal process, the internal process configured to provide an output value reflecting changes in the internal process responsive to the input value, the output value readable by the program. The method including writing the output value to a queue stored in memory of the data processing system, selecting a portion of the queue, matching the selected portion of the queue with a predetermined pattern, selecting a type of adjustment to be made to the input value, the type of adjustment corresponding to the matched predetermined pattern, determining a new input value according to the selected type of adjustment, and providing the new value the internal process, the internal process providing a new output value having reduced oscillations responsive to the new input value.
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:
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:
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:
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:
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:
Techniques are disclosed for providing cross-tier management in a multi-tier computing system architecture. For example, a method for managing a computing system, wherein the computing system includes a first tier and at least a second tier, wherein the first tier and the second tier are configured to respond to a request received by the computing system, includes the steps of monitoring performance of the second tier from the first tier, and sending one or more management commands from the first tier to the second tier based on the monitored performance. In one embodiment, the first tier may be an application server tier of the computing system, and the second tier may be a database server tier of the computing system.