Abstract: A method, system, and computer program product for discovering relationships between data processing environment components are provided in the illustrative embodiments. Whether a log entry in a set of log entries references a combination of the data processing environment components is detected. The combination of components includes a first component and a second component present in the data processing environment. A type of the log entry is determined. A weight is assigned to the log entry according to the determined type. The weight of the log entry is combined with a second weight of a second log entry to form a cumulative weight. A strength level for which the cumulative weight qualifies is determined. The strength level is assigned to a relationship between the combination of components.

Abstract: A method, system, and computer program product for discovering relationships between data processing environment components are provided in the illustrative embodiments. Whether a log entry in a set of log entries references a combination of the data processing environment components is detected. The combination of components includes a first component and a second component present in the data processing environment. A type of the log entry is determined. A weight is assigned to the log entry according to the determined type. the weight of the log entry is combined with a second weight of a second log entry to form a cumulative weight. A strength level for which the cumulative weight qualifies is determined. The strength level is assigned to a relationship between the combination of components.

Abstract: A method, system, and computer program product for discovering relationships between data processing environment components are provided in the illustrative embodiments. Whether a log entry in a set of log entries references a combination of the data processing environment components is detected. The combination of components includes a first component and a second component present in the data processing environment. A type of the log entry is determined. A weight is assigned to the log entry according to the determined type. the weight of the log entry is combined with a second weight of a second log entry to form a cumulative weight. A strength level for which the cumulative weight qualifies is determined. The strength level is assigned to a relationship between the combination of components.

Abstract: A method, system, and computer program product for estimating an amount of time to model a data processing environment are provided in the illustrative embodiments. A set of analysis parameters is selected. A sum of a subset of the set of analysis parameters is computed. A logarithmic value of the sum is computed. The logarithmic value is weighted. The amount of time to model the data processing environment is estimated using the logarithmic value.

Abstract: A method, system, and computer program product for discovering relationships between data processing environment components are provided in the illustrative embodiments. Whether a log entry in a set of log entries references a combination of the data processing environment components is detected. The combination of components includes a first component and a second component present in the data processing environment. A type of the log entry is determined. A weight is assigned to the log entry according to the determined type. the weight of the log entry is combined with a second weight of a second log entry to form a cumulative weight. A strength level for which the cumulative weight qualifies is determined. The strength level is assigned to a relationship between the combination of components.

Abstract: A method, system, and article for autonomizing autonomic management of a data center, with the data center having at least one computer system and an associated component. Data is collected from the data center and used as input to identify a data center policy. A set of capabilities of elements of the data center are detected and cataloged based upon the collected data. At least one policy is dynamically selected from at least one set of master policies in a policy directory with the selected policy to support the cataloged capabilities of the data center, and to dynamically control selective application and to adapt parameters for quality of service. The selected policy is applied to manage the data center.

Abstract: Multiple policy engines may be integrated with a change and configuration change database to enable coordination of multiple policies by an embodiment comprising: a data center having a plurality of configuration items and connected to a network; a database connected to the network; a plurality of policy engines connected to the network; wherein each of the plurality of policy engines is configured to apply one or more policies to the data center in accordance with an awareness of all configuration item changes made by all other policy engines connected to the network; wherein the awareness comprises a plurality of relationships, each relationship being between a policy data and a configuration item.

Abstract: A method, system, and article for autonomizing autonomic management of a data center, with the data center having at least one computer system and an associated component. Data is collected from the data center and used as input to identify a data center policy. A set of capabilities of elements of the data center are detected and cataloged based upon the collected data. At least one policy is dynamically selected from at least one set of master policies in a policy directory with the selected policy to support the cataloged capabilities of the data center, and to dynamically control selective application and to adapt parameters for quality of service. The selected policy is applied to manage the data center.

Abstract: Materials and methods for evaluating cellular responses to acetaminophen and assessing susceptibility to liver damage.

Abstract: Disclosed is an apparatus and method for organizing a capacity planning system. The method includes receiving resource model data from a domain knowledge, receiving generic resource definitions from the domain knowledge, developing a service delivery center capacity model based upon the domain knowledge and other data. The method further includes implementing a capacity management platform to execute a capacity plan for processing the capacity management.

Abstract: Disclosed is an apparatus and method for implementing a repository of services. One embodiment describes a method consisting of defining a plurality of atomic services, providing at least one service composition from the definition of the plurality of atomic services, and combining at least one atomic service associated with the at least one service composition with a service plan. The method further consists of providing a service plan that describes the control and data flow between the at least one of the plurality of atomic services and the at least one service composition.

Abstract: Disclosed is an apparatus and method for organizing a service request processing system. The method includes receiving operational model data from domain knowledge, receiving business performance model data from said domain knowledge, developing a solution model based upon said domain knowledge and other data, and implementing a service delivery platform to execute a service request for processing said service request.