2015•QueueOpen access

Hadoop Superlinear Scalability

Neil J. Günther, Paul Puglia, Kristofer Tomasette

Open full text 20 citations

Abstract

We often see more than 100 percent speedup efficiency! came the rejoinder to the innocent reminder that you can’t have more than 100 percent of anything. But this was just the first volley from software engineers during a presentation on how to quantify computer system scalability in terms of the speedup metric. In different venues, on subsequent occasions, that retort seemed to grow into a veritable chorus that not only was superlinear speedup commonly observed, but also the model used to quantify scalability for the past 20 years failed when applied to superlinear speedup data.

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What this paper is about

We often see more than 100 percent speedup efficiency! came the rejoinder to the innocent reminder that you can’t have more than 100 percent of anything. But this was just the first volley from software engineers during a presentation on how to quantify computer system scalability in terms of the speedup metric. In different venues, on subsequent occasions, that retort seemed to grow into a veritable chorus that not only was superlinear speedup commonly observed, but also the model used to quantify scalability for the past 20 years failed when applied to superlinear speedup data.

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OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We often see more than 100 percent speedup efficiency! came the rejoinder to the innocent reminder that you can’t have more than 100 percent of anything. But this was just the first volley from software engineers during a presentation on how to quantify computer system scalability in terms of the speedup metric. In different venues, on subsequent occasions, that retort seemed to grow into a veritable chorus that not only was superlinear speedup commonly observed, but also the model used to quantify scalability for the past 20 years failed when applied to superlinear speedup data.

Key concepts: Speedup, Scalability, Computer science, Chorus, Parallel computing, Metric (unit), Software, Operating system

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