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Related Experiment Videos

Development criteria for a Benchmark test program.

K Böhm

    Computer Programs in Biomedicine
    |December 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Benchmark tests compare electronic data processing (EDP) systems and predict performance bottlenecks. Developing representative workload models is crucial for computer centers to gain these benefits.

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    Area of Science:

    • Computer Science
    • Performance Engineering

    Background:

    • Electronic Data Processing (EDP) systems require rigorous evaluation for procurement and performance monitoring.
    • Existing systems face performance degradation with increasing workloads, necessitating proactive bottleneck identification.

    Purpose of the Study:

    • To outline criteria for developing effective Benchmark test programs.
    • To demonstrate the utility of Benchmark tests for EDP system comparison and workload analysis.

    Main Methods:

    • Describing criteria for creating representative Benchmark test programs.
    • Focusing on the simulation of terminal sessions as a key component.
    • Providing a detailed example for practical application.

    Main Results:

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    • Benchmark tests provide dynamic performance data and aid in predicting future bottlenecks.
    • A well-designed Benchmark test program enables informed decisions regarding new computer acquisitions.
    • Representative workload modeling is essential for accurate performance evaluation.

    Conclusions:

    • Computer centers should develop tailored Benchmark tests reflecting their specific workloads.
    • Simulation of terminal sessions is a critical aspect of realistic Benchmark testing.
    • Effective Benchmark testing supports both system selection and ongoing performance management.