International Business Machines Corporation

Ann M Moyer

John X Zupet

David A Ashmore

Nirmala Shobitha Nandi

Cheranellore Vasudevan

Naga A Ayachitula

Rajeev Puri

Josephine E Justin

Kenneth David Christiance

Peter M Jensen

Robert A Larsen

Lisa Nayak

Chetna Dnyandeo Warade

Vijaya Jas

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.

Discovering relationships between data processing environment components

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.

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.

Dynamic control of autonomic management of a data center

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Woodstock, NY, United States of America

Ann M Moyer