In general, performance analysis tools deal with large volumes of highly complex data of varying types and at varying levels of granularity. The result is that it is common for there to be many different tools and components that implement performance data collection, recording, and reporting in an analysis environment. This variety complicates communication within a group and makes cross-group communication about specific performance findings even more difficult. The analysis of the performance of Java TM virtual machines and Java applications introduces additional complexity. We describe an approach that unifies the recording and reporting components of performance analysis into a single data model and standard set of reports. We have employed this model with significant success in the analysis of IBM's Developer Kits for the Java virtual machine.ALEXANDER ET AL.

We describe features of the POWERS" processor and memory subsystem that enhance RISC System/6000@' performance on commercial workloads. We explain the performance characteristics of commercial workloads and some of the common benchmarks used to measure them. Our own analysis methods are also described. Characteristics of commercial workloads Commercial workloads include a wide variety of applications; some of the more prominent include on-line transaction processing, other database management Wopyright 1994 by International Business Machines Corporation. Copying in printed form for private use is permitted without payment of royalty provided that (1) each reproduction is done without alteration and (2) the Journal reference and IBM copyright notice are included on the first page. The title and abstract, but no other portions, of this paper may be copied or distributed royalty free without further permission by computer-based and other information-service systems. Permission to republish any other portion of this paper must be obtained from the Editor.

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