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A Survey on Cloud Computing Simulation and Modeling

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Abstract

Cloud Computing (CC) has attracted a massive amount of research and investment in the previous decade. The economical model proposed by this technology is a viable solution for consumers as well as being a profitable one for the provider. However, deploying real world cloud experiments to test new policies/algorithms is time consuming and very expensive, especially for large scenarios. As a result, the research community has opted to test their contributions is CC simulators. Although the models proposed by these simulators are not exhaustive, each one is made to address a specific process. Alternatively, others tools are made to provide a platform and the necessary building blocks to model any desired sub-component (application/network model, energy consumption, scheduling and Virtual Machine provisioning). In this paper, a detailed survey about the existing CC simulators is made discussing features, software architecture as well as the ingenuity behind these frameworks.

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Availability of Data and Material

Most of the simulators discussed in this paper are open source. Some simulators are proprietary such as MDCSim.

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  1. Laboratoire de Recherche en Informatique de Tlemcen (LRIT), Department of Computer Science, Faculty of Science, New University Pole Abou Bekr Belkaid, Tlemcen Mansourah, 13000, Tlemcen, Algeria

    Ilyas Bambrik

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  1. Ilyas Bambrik
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The author conducted the entire survey solely. The proposed work encompasses collecting and reviewing papers as well investigating simulators architectures.

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Correspondence to Ilyas Bambrik.

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Bambrik, I. A Survey on Cloud Computing Simulation and Modeling. SN COMPUT. SCI. 1, 249 (2020). https://doi.org/10.1007/s42979-020-00273-1

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