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Can Linear Approximation Improve Performance Prediction ?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099123" target="_blank" >RIV/00216208:11320/11:10099123 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.springerlink.com/content/50868p3861927512/" target="_blank" >http://www.springerlink.com/content/50868p3861927512/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-24749-1_19" target="_blank" >10.1007/978-3-642-24749-1_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can Linear Approximation Improve Performance Prediction ?

  • Original language description

    Software performance evaluation relies on the ability of simple models to predict the performance of complex systems. Often, however, the models are not capturing potentially relevant effects in system behavior, such as sharing of memory caches or sharing of cores by hardware threads. The goal of this paper is to investigate whether and to what degree a simple linear adjustment of service demands in software performance models captures these effects and thus improves accuracy. Outlined experiments explore the limits of the approach on two hardware platforms that include shared caches and hardware threads, with results indicating that the approach can improve throughput prediction accuracy significantly, but can also lead to loss of accuracy when the performance models are otherwise defective.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    2011

  • Issue of the periodical within the volume

    6977

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    15

  • Pages from-to

    250-264

  • UT code for WoS article

  • EID of the result in the Scopus database