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

机译：云端高效的资源管理：从模拟到使用低成本Raspberry Pi测试台进行实验验证

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摘要

Within the context of cloud computing, efficient resource management is of great importance as it can result in higher scalability and significant energy and cost reductions over time. Because of the high complexity and costs of cloud environments, however, newly developed resource allocation strategies are often only validated by means of simulations, for example, by using CloudSim or custom-developed simulation tools. This article describes a general approach for the validation of cloud resource allocation strategies, illustrating the importance of experimental validation on physical testbeds. Furthermore, the design and implementation of RaspberryPiasaService(RPiaaS), a low-cost embedded testbed built using Raspberry Pi nodes, is presented. RPiaaS aims to facilitate the step from simulations toward experimental evaluations on larger cloud testbeds and is designed using a microservice architecture, where experiments and all required management services are running inside containers. The performance of the RPiaaS testbed is evaluated using several benchmark experiments. The obtained results not only illustrate that the overhead of both using containers and running the required RPiaaS services is minimal but also provide useful insights for scaling up experiments between the Raspberry Pi testbed and a larger more traditional cloud testbed. The introduced validation approach is then illustrated using a case study focusing on the allocation of hierarchically structured tenant data. The results obtained through simulations are compared to the experimental results. The RPiaaS testbed proved to be a very useful tool for the initial experimental validation before moving the experiments to a large-scale testbed.
机译：在云计算的背景下，高效的资源管理非常重要，因为随着时间的流逝，它可以带来更高的可伸缩性以及显着的能源和成本降低。但是，由于云环境的高度复杂性和成本，新开发的资源分配策略通常仅通过仿真（例如，使用CloudSim或定制开发的仿真工具）进行验证。本文介绍了一种用于验证云资源分配策略的通用方法，说明了在物理测试平台上进行实验验证的重要性。此外，还介绍了使用Raspberry Pi节点构建的低成本嵌入式测试平台RaspberryPiasaService（RPiaaS）的设计和实现。 RPiaaS旨在促进从更大的云测试平台上的模拟过渡到实验评估的过程，它是使用微服务架构设计的，其中实验和所有必需的管理服务都在容器内运行。使用多个基准实验评估RPiaaS测试平台的性能。获得的结果不仅说明使用容器和运行所需的RPiaaS服务的开销是最小的，而且还为扩展Raspberry Pi测试平台与更大的传统云测试平台之间的实验提供了有用的见解。然后使用案例研究来说明引入的验证方法，该案例研究的重点是分层结构的租户数据的分配。通过仿真获得的结果与实验结果进行比较。事实证明，RPiaaS测试平台对于将实验移至大规模测试平台之前的初始实验验证是非常有用的工具。

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  • 来源
    《Software》 |2019年第3期|449-477|共29页
  • 作者

    Maenhaut Pieter-Jan; Volckaert Bruno; Ongenae Veerle; De Turck Filip;

  • 作者单位

    Univ Ghent, Dept Informat Technol, Fac Engn & Architecture, Ghent, Oost Vlaanderen, Belgium|Univ Ghent, IMEC, Internet Technol & Data Sci Lab, Dept Informat Technol,IDLab, Ghent, Oost Vlaanderen, Belgium;

    Univ Ghent, IMEC, Internet Technol & Data Sci Lab, Dept Informat Technol,IDLab, Ghent, Oost Vlaanderen, Belgium;

    Univ Ghent, Dept Informat Technol, Fac Engn & Architecture, Ghent, Oost Vlaanderen, Belgium;

    Univ Ghent, IMEC, Internet Technol & Data Sci Lab, Dept Informat Technol,IDLab, Ghent, Oost Vlaanderen, Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cloud computing; experimental validation; Raspberry Pi testbed; resource allocation; simulations;

    机译：云计算;实验验证;Raspberry Pi测试平台;资源分配;模拟;

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