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Modelling low power compute clusters for cloud simulation

In order to minimise their energy use, data centre operators are constantly exploring new ways to construct computing infrastructures. As low power CPUs, exemplified by ARM-based devices, are becoming increasingly popular, there is a growing trend for the large scale deployment of low power servers...

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Main Authors: Gabor Kecskemeti, Wajdi Hajji, Fung Po Tso
Format: Default Conference proceeding
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/2134/24644
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author Gabor Kecskemeti
Wajdi Hajji
Fung Po Tso
author_facet Gabor Kecskemeti
Wajdi Hajji
Fung Po Tso
author_sort Gabor Kecskemeti (7168484)
collection Figshare
description In order to minimise their energy use, data centre operators are constantly exploring new ways to construct computing infrastructures. As low power CPUs, exemplified by ARM-based devices, are becoming increasingly popular, there is a growing trend for the large scale deployment of low power servers in data centres. For example, recent research has shown promising results on constructing small scale data centres using Raspberry Pi (RPi) single-board computers as their building blocks. To enable larger scale experimentation and feasibility studies, cloud simulators could be utilised. Unfortunately, stateof-the-art simulators often need significant modification to include such low power devices as core data centre components. In this paper, we introduce models and extensions to estimate the behaviour of these new components in the DISSECT-CF cloud computing simulator. We show that how a RPi based cloud could be simulated with the use of the new models. We evaluate the precision and behaviour of the implemented models using a Hadoop-based application scenario executed both in real life and simulated clouds.
format Default
Conference proceeding
id rr-article-9401882
institution Loughborough University
publishDate 2017
record_format Figshare
spelling rr-article-94018822017-01-01T00:00:00Z Modelling low power compute clusters for cloud simulation Gabor Kecskemeti (7168484) Wajdi Hajji (7168487) Fung Po Tso (3796399) Other information and computing sciences not elsewhere classified Cloud computing IaaS Low power Simulation Containers Docker Information and Computing Sciences not elsewhere classified In order to minimise their energy use, data centre operators are constantly exploring new ways to construct computing infrastructures. As low power CPUs, exemplified by ARM-based devices, are becoming increasingly popular, there is a growing trend for the large scale deployment of low power servers in data centres. For example, recent research has shown promising results on constructing small scale data centres using Raspberry Pi (RPi) single-board computers as their building blocks. To enable larger scale experimentation and feasibility studies, cloud simulators could be utilised. Unfortunately, stateof-the-art simulators often need significant modification to include such low power devices as core data centre components. In this paper, we introduce models and extensions to estimate the behaviour of these new components in the DISSECT-CF cloud computing simulator. We show that how a RPi based cloud could be simulated with the use of the new models. We evaluate the precision and behaviour of the implemented models using a Hadoop-based application scenario executed both in real life and simulated clouds. 2017-01-01T00:00:00Z Text Conference contribution 2134/24644 https://figshare.com/articles/conference_contribution/Modelling_low_power_compute_clusters_for_cloud_simulation/9401882 CC BY-NC-ND 4.0
spellingShingle Other information and computing sciences not elsewhere classified
Cloud computing
IaaS
Low power
Simulation
Containers
Docker
Information and Computing Sciences not elsewhere classified
Gabor Kecskemeti
Wajdi Hajji
Fung Po Tso
Modelling low power compute clusters for cloud simulation
title Modelling low power compute clusters for cloud simulation
title_full Modelling low power compute clusters for cloud simulation
title_fullStr Modelling low power compute clusters for cloud simulation
title_full_unstemmed Modelling low power compute clusters for cloud simulation
title_short Modelling low power compute clusters for cloud simulation
title_sort modelling low power compute clusters for cloud simulation
topic Other information and computing sciences not elsewhere classified
Cloud computing
IaaS
Low power
Simulation
Containers
Docker
Information and Computing Sciences not elsewhere classified
url https://hdl.handle.net/2134/24644