Abstract
AbstractApplications on Grids require scalable and online performance analysis tools. The execution environment of such applications includes a large number of processors. In addition, some of the resources such as the network will be shared with other applications. This requires applications to adapt dynamically to resource changes. The article presents the requirements of Grid application classes for performance analysis tools. It introduces a new analysis environment currently being developed for teraflop computers within the Peridot project at Technische Universität München. This environment applies a distributed automatic performance analysis approach. It is based on a formal specification of performance properties in the APART specification language. It uses a hierarchy of analysis agents that obtain performance data from a configurable monitoring system. This scalable design allows performance analysis for large Grid applications. Copyright © 2005 John Wiley & Sons, Ltd.
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