Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance

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Main Author: Sergio Armando Gutiérrez
Format: Artículo científico
Language:en
Published: Universidad Nacional de Colombia 2018
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author Sergio Armando Gutiérrez
author_facet Sergio Armando Gutiérrez
contents Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance Sergio Armando Gutiérrez Marinho Barcellos John Willian Branch Ingeniería MLFQ Flow scheduling Data center networks Agnostic flow scheduling State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49659032002 https://www.redalyc.org/journal/496/49659032002/ https://www.redalyc.org/journal/496/49659032002/html/ https://www.redalyc.org/journal/496/49659032002/49659032002.epub https://www.redalyc.org/journal/496/49659032002/movil 10.15446/dyna.v85n206.71626 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.206 Vol.85
format Artículo científico
id redalyc_49659032002
language en
publishDate 2018
publisher Universidad Nacional de Colombia
spellingShingle Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
Sergio Armando Gutiérrez
Ingeniería
MLFQ
Flow scheduling
Data center networks
Agnostic flow scheduling
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance Sergio Armando Gutiérrez Marinho Barcellos John Willian Branch Ingeniería MLFQ Flow scheduling Data center networks Agnostic flow scheduling State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49659032002 https://www.redalyc.org/journal/496/49659032002/ https://www.redalyc.org/journal/496/49659032002/html/ https://www.redalyc.org/journal/496/49659032002/49659032002.epub https://www.redalyc.org/journal/496/49659032002/movil 10.15446/dyna.v85n206.71626 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.206 Vol.85
title Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
topic Ingeniería
MLFQ
Flow scheduling
Data center networks
Agnostic flow scheduling
url https://www.redalyc.org/articulo.oa?id=49659032002
https://www.redalyc.org/journal/496/49659032002/
https://www.redalyc.org/journal/496/49659032002/html/
https://www.redalyc.org/journal/496/49659032002/49659032002.epub
https://www.redalyc.org/journal/496/49659032002/movil