International Business Machines Corporation

Harald Bender

Karin Genther

Peter Mailand

Juergen Holtz

A method of performance monitoring in a data processing environment is provided. The data processing environment includes multiple systems, each of which has resources. Each resource relates to a resource type, wherein at least one performance parameter is defined for each resource type. The method includes determining a value of the at least one performance parameter for at least one resource, aggregating performance parameter values and related resources of a resource type, creating for at least a part of the resources a next predefined aggregation level which includes all resources relating to the resource type and associating all performance parameter values to this aggregation level, and repeating the creating for at least a part of the resources a next predefined aggregation level until a predefined target aggregation level of the data processing environment has been reached.

Promotion of performance parameters in distributed data processing environment

The present invention describes a method to synchronize performance data in a computer network system. All specified performance data of a single system collected by way of a network-wide uniformly clocked scanning interval are sorted according to their interval start time in ascending order and their actual scanning intervals in descending order. The first items of performance data sorted form the first common interval. All subsequent performance data are assigned to that interval, provided the mid point of their actual scanning interval falls within the common interval. The performance data which are no longer assigned to the first interval form the basis for a subsequent interval. The method is continued until all performance data are assigned to a common interval. The advantages of the present invention lie in the fact that the synchronized performance data are displayable in tabular form unambiguously and without gaps, and thus are available for postprocessing, for example as a bar chart. Manual evaluation is no longer necessary. The performance data can be subjected with no manual editing to a test and control program which evaluates the performance data and adapts the single systems to the specified performance data.

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Steinenbronn, Germany

Harald Bender