Abstract: In response to a request by a data furnisher system to add data to that organized by a system, a data coordinating system resolves the identity of counterparties to whom the data is relevant. For each identified counterparty, the coordinating system identifies a corresponding counterparty system, and via communications between smart contracts comprised in the coordinating system, communicates the data provided by the data furnisher system. The counterparty reviews the data and either verifies that it is accurate or disputes the data. The counterparty's response is communicated through the data coordinating system via the relevant smart contracts to the data furnisher system. If the counterparty verified the data, the data coordinating system updates its database to reflect the data has been verified. If the counterparty disputed the data, the data furnisher and counterparty communicate to resolve the dispute. The data is marked as being disputed.

Abstract: In response to a request by a data furnisher system to add data to that organized by a system, a data coordinating system resolves the identity of counterparties to whom the data is relevant. For each identified counterparty, the coordinating system identifies a corresponding counterparty system, and via communications between smart contracts comprised in the coordinating system, communicates the data provided by the data furnisher system. The counterparty reviews the data and either verifies that it is accurate or disputes the data. The counterparty's response is communicated through the data coordinating system via the relevant smart contracts to the data furnisher system. If the counterparty verified the data, the data coordinating system updates its database to reflect the data has been verified. If the counterparty disputed the data, the data furnisher and counterparty communicate to resolve the dispute. The data is marked as being disputed.

Abstract: 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.

Abstract: An adaptive throttling system for minimizing the impact of non-production work on production work in a computer system is provided. The adaptive throttling system throttles production work and non-production work to optimize production. The adaptive throttling system allows system administrators to specify a quantified limit on the performance impact of non-production or utility work on production work. The throttling rate of the utility is then automatically determined by a supervisory agent, so that the utilities' impact is kept within the specified limit. The adaptive throttling system adapts dynamically to changes in workloads so as to ensure that valuable system resources are well utilized and utility work is not delayed unnecessarily.

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: 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.

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: 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.

Abstract: Regulating the execution of software execution units to manage the performance impact of administrative utilities is disclosed. Administrative utilities (e.g., filesystem and database backups, garbage collection in the Java Virtual Machines, etc.) are an essential part of the operation of production systems. Performance impact is managed through the use of throttling, either external or internal, which forces utilities to slow down their processing by a configurable amount. While a variety of criteria may be used for throttling, a self-induced sleep in preferred for internal throttling.

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.