Transforming System Load to Throughput for Consolidated Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192737" target="_blank" >RIV/00216208:11320/13:10192737 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6730772" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6730772</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MASCOTS.2013.37" target="_blank" >10.1109/MASCOTS.2013.37</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Transforming System Load to Throughput for Consolidated Applications

Popis výsledku v původním jazyce

Today's computing systems monitor and collect a large number of system load statistics, e.g., time series of CPU utilization, but utilization traces do not directly reflect application performance, e.g., response time and throughput. Indeed, resource utilization is the output of conventional performance evaluation approaches, such as queueing models and benchmarking, and often for a single application. In this paper, we address the following research question: How to turn utilization traces from consolidated applications into estimates of application performance metrics? To such an end, we developed "Showstopper", a novel and light-weight benchmarking methodology and tool which orchestrates execution of multi-threaded benchmarks on a multi-core systemin parallel, so that the CPU load follows utilization traces and application performance metrics can thus be estimated efficiently. To generate the desired loads, Showstopper alternates stopped and runnable states of multiple benchmarks i

Název v anglickém jazyce

Transforming System Load to Throughput for Consolidated Applications

Popis výsledku anglicky

Today's computing systems monitor and collect a large number of system load statistics, e.g., time series of CPU utilization, but utilization traces do not directly reflect application performance, e.g., response time and throughput. Indeed, resource utilization is the output of conventional performance evaluation approaches, such as queueing models and benchmarking, and often for a single application. In this paper, we address the following research question: How to turn utilization traces from consolidated applications into estimates of application performance metrics? To such an end, we developed "Showstopper", a novel and light-weight benchmarking methodology and tool which orchestrates execution of multi-threaded benchmarks on a multi-core systemin parallel, so that the CPU load follows utilization traces and application performance metrics can thus be estimated efficiently. To generate the desired loads, Showstopper alternates stopped and runnable states of multiple benchmarks i

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on

ISBN

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ISSN

1526-7539

e-ISSN

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Počet stran výsledku

5

Strana od-do

288-292

Název nakladatele

IEEE

Místo vydání

San Francisco

Místo konání akce

San Francisco

Datum konání akce

14. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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