Reproducible experiments on dynamic resource allocation in cloud data centers
Andreas Wolke, Martin Bichler, Fernando Chirigati, Victoria Steeves

TL;DR
This paper presents a simulation framework for reproducible experiments on dynamic resource allocation strategies in cloud data centers, enabling validation and new research in virtual machine management.
Contribution
It introduces a detailed simulation framework that allows researchers to replicate and extend experiments on resource allocation in cloud environments.
Findings
Framework enables reproducible experiments
Supports comparison of different resource strategies
Facilitates new research in cloud resource management
Abstract
In Wolke et al. [1] we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework.
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