Abstract:
A system and method are described for constructing and implementing generic software agents for automated tuning of computer systems and applications. The framework defines the modules and interfaces to allow agents to be created in a modular fashion. The specifics of the target system are captured by adaptors that provide a uniform interface to the target system. Data in the agent is managed by a metric manager, and controller modules implement the desired control algorithms. The modular structure and common interfaces allow for the construction of generic agents that are applicable to a wide variety of target systems, and can use a wide variety of control algorithms.
Abstract:
A method, computer program product, and data processing system for constructing a self-managing distributed computing System comprised of "autonomic elements" is disclosed. An autonomic element provides a set of services, and may provide them to other autonomic elements. Relationships between autonomic elements include the providing and consuming of such services. These relationships are "late bound," in the sense that they can be made during the operation of the system rather than when parts of the system are implemented or deployed. They are dynamic, in the sense that relationships can begin, end, and change over time. They are negotiated, in the sense that they are arrived at by a process of mutual communication between the elements that establish the relationship.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
A method, computer program product, and data processing system for constructing a self-managing distributed computing System comprised of "autonomic elements" is disclosed. An autonomic element provides a set of services, and may provide them to other autonomic elements. Relationships between autonomic elements include the providing and consuming of such services. These relationships are "late bound," in the sense that they can b e made during the operation of the system rather than when parts of the system are implemented or deployed. They are dynamic, in the sense that relationshi ps can begin, end, and change over time. They are negotiated, in the sense that they are arrived at by a process of mutual communication between the element s that establish the relationship.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
A method, computer program product, and data processing system for constructing a self-managing distributed computing system comprised of "autonomic elements" is disclosed. An autonomic element provides a set of services, and may provide them to other autonomic elements. Relationships between autonomic elements include the providing and consuming of such services. These relationships are "late bound," in the sense that they can be made during the operation of the system rather than when parts of the system are implemented or deployed. They are dynamic, in the sense that relationships can begin, end, and change over time. They are negotiated, in the sense that they are arrived at by a process of mutual communication between the elements that establish the relationship.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
A system and method are described for constructing and implementing generic software agents for automated tuning of computer systems and applications. The framework defines the modules and interfaces to allow agents to be created in a modular fashion. The specifics of the target system (260) are captured by adaptors (230) that provide a uniform interface to the target system (260). Data in the agent is managed by a metric manager (240), and controller modules implement the desired control algorithms. The modular structure and common interfaces allow for the construction of generic agents that are applicable to a wide variety of target systems, and can use a wide variety of control algorithms.
Abstract:
A system for prediction of non-stationary processes by dynamically managing multiple models, comprises a model assessor, a model adapter, a plurality of sub-models, a plurality of model combiner functions, training data that is used to estimate model parameters, and test data that is used to test for change points. The model adapter selects sub-models to be combined to form a prediction on the basis of whether each sub-model has recently tested positive for a change point.