The Art of Computer Systems Performance Analysis¶
Jain, R. (1991). The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling. John Wiley & Sons.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Interference and Contention
- The framework compresses domain-specific contention problems into a structured diagnostic: identify the shared resource, the competing demands, the current arbitration mechanism, the contention metric (latency, throughput, quality, jitter), and candidate solutions, a diagnostic discipline Jain (1991) systematizes in his canonical guide to performance analysis.
This sourceCanonical performance-analysis reference: systematizes the diagnostic pipeline of resource characterization, demand profiling, arbitration audit, and cost measurement for contention problems.
- The framework compresses domain-specific contention problems into a structured diagnostic: identify the shared resource, the competing demands, the current arbitration mechanism, the contention metric (latency, throughput, quality, jitter), and candidate solutions, a diagnostic discipline Jain (1991) systematizes in his canonical guide to performance analysis.
- Intrinsic Ceiling vs Input
- the throughput-ceiling analysis from software performance was adopted in supply-chain operations research and manufacturing-process engineering.
This sourceTreats throughput-ceiling (saturation) analysis of system performance and the resources required to approach the asymptote, with bottleneck/asymptote reasoning later carried into operations research.
- the throughput-ceiling analysis from software performance was adopted in supply-chain operations research and manufacturing-process engineering.
Mechanisms¶
- Telemetry Sampling and Buffering
- The probe effect shrinks but never reaches zero, and under-instrumenting to feel safe can hide the very disturbance you are managing.
This sourceExplains the measurement probe effect and the need to minimize, rather than assume elimination of, observer overhead in performance measurement.
- The probe effect shrinks but never reaches zero, and under-instrumenting to feel safe can hide the very disturbance you are managing.
Verification¶
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Links previously used in the corpus¶
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