An empirical investigation of cost-resource optimization for running real-life applications in open source cloud

A. Imran, Alim Ul Gias, K. Sakib
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引用次数: 10

Abstract

Open source cloud technology can optimally increase resource utilization and reduce costs in many organizations to support and execute their applications. The extent to which cloud can reduce memory wastage and save costs is an important issue of research. This paper aims to address this issue through the evaluation of an organization's cost-resource benefits by executing real life applications on open source private cloud platform and evaluating the empirical data. The variability in performance of the cloud and traditional systems is shown by defining metrics and provisioning inputs to obtain results. Through the experimentation, memory utilization is seen to increase by 22.16% in the cloud. Direct-indirect cost savings sum up to 40%. The cloud features playing key role to this improved cost-resource performance are revealed.
在开源云中运行实际应用程序的成本资源优化的实证调查
开源云技术可以在许多组织中以最佳方式提高资源利用率并降低支持和执行其应用程序的成本。云在多大程度上可以减少内存浪费和节省成本是一个重要的研究问题。本文旨在通过在开源私有云平台上执行实际应用程序并评估经验数据来评估组织的成本资源效益,从而解决这一问题。通过定义度量和提供输入来获得结果,可以显示云和传统系统性能的可变性。通过实验,可以看到云中的内存利用率提高了22.16%。直接-间接成本节约总计达40%。揭示了对这种改进的成本-资源性能起关键作用的云特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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