Initial Experiments with Duet Benchmarking: Performance Testing Interference in the Cloud

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405061" target="_blank" >RIV/00216208:11320/19:10405061 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8843155" target="_blank" >https://ieeexplore.ieee.org/document/8843155</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MASCOTS.2019.00035" target="_blank" >10.1109/MASCOTS.2019.00035</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Initial Experiments with Duet Benchmarking: Performance Testing Interference in the Cloud

Popis výsledku v původním jazyce

Accurate performance testing may require many measurements and therefore many machines to execute on. When many machines are needed, the cloud offers a tempting solution, however, measurements conducted in the cloud are generally considered unstable. In the context of comparing performance of two workloads, we propose a measurement procedure that improves accuracy by executing the workloads concurrently and using the measurements to filter outside interference. Depending on the platform used, experiments show average accuracy improvement ranging from 114% to 683% over sequential measurements on workloads running the ScalaBench suite with the Graal compiler.

Název v anglickém jazyce

Initial Experiments with Duet Benchmarking: Performance Testing Interference in the Cloud

Popis výsledku anglicky

Accurate performance testing may require many measurements and therefore many machines to execute on. When many machines are needed, the cloud offers a tempting solution, however, measurements conducted in the cloud are generally considered unstable. In the context of comparing performance of two workloads, we propose a measurement procedure that improves accuracy by executing the workloads concurrently and using the measurements to filter outside interference. Depending on the platform used, experiments show average accuracy improvement ranging from 114% to 683% over sequential measurements on workloads running the ScalaBench suite with the Graal compiler.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/8A18009" target="_blank" >8A18009: From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>R - Projekt Ramcoveho programu EK

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)

ISBN

978-1-72814-950-9

ISSN

1526-7539

e-ISSN

—

Počet stran výsledku

7

Strana od-do

249-255

Název nakladatele

The Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Rennes, France

Datum konání akce

21. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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