Modelling Low Power Compute Clusters for Cloud Simulation

Abstract

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, 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.

A Study on the Energetic Viability of Single Board Computers for Cloud Computing Scenarios

“…A generalization of these ideas, based on a similar hardware platform, can also be seen in Cecowski [17] as the proposal for a modular, ARM-based datacenter. Furthermore, in the same trend of our current proposal, Big Data workloads over ARM infrastructures can already be simulated thanks to the work of Kecskemeti [18] From a cost-based approach, we have improved on [19] by considering typical warehouse time-of-life power consumption, discovering that the accumulated electricity costs for a cluster system clearly cut on the data therein presented.…”

Modelling resource heterogeneities in cloud simulations and quantifying their accuracy

“…Fortunately, this adjustment is not necessary for non-tricky hardware set-ups (such as non-HT enabled, SMP systems) running CPU intensive applications. Those researchers who are interested to know how to model software behaviour with processing limits (capabilities), may refer to [37] for more discussion and details.…”

Efficient resource management in the cloud: From simulation to experimental validation using a low‐cost Raspberry Pi testbed

“…The developer of the DISSECT‐CF simulator has recently introduced new models and extensions to estimate the behavior of newer components such as Raspberry Pi nodes in the simulator . In this paper, a Raspberry Pi–based cloud is simulated by using the new models.…”