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Modelling Low Power Compute Clusters for Cloud Simulation

Kecskemeti, G and Hajji, W and Tso, FP (2017) Modelling Low Power Compute Clusters for Cloud Simulation. In: Parallel, Distributed and Network-based Processing . (HPDC 2017: The 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2017), 6-8th March 2017, St. Petersburg, Russia).

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Abstract

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, state-of-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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: IEEE
Related URLs:
Date Deposited: 12 Dec 2016 11:03
Last Modified: 10 Aug 2017 10:53
URI: http://researchonline.ljmu.ac.uk/id/eprint/5081

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