rpi-pdp17.pdf (260.3 kB)
Download file

Modelling low power compute clusters for cloud simulation

Download (260.3 kB)
conference contribution
posted on 06.04.2017, 10:12 by Gabor Kecskemeti, Wajdi Hajji, Fung Po TsoFung Po Tso
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.

Funding

This work is partially supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P004407/1 and EP/P004024/1.

History

School

  • Science

Department

  • Computer Science

Published in

The 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017)

Citation

KECSKEMETI, G., HAJJI, W. and TSO, F.P., 2017. Modelling low power compute clusters for cloud simulation. 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017), St. Petersburg, Russia, 6th-8th March 2017, pp. 39-45.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

16/12/2016

Publication date

2017

Notes

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

en

Location

St. Petersburg, Russia