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Price modeling of laaS providers using multiple regression

机译:使用多元回归的laaS提供商的价格建模

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An alternative for users to reduce costs of acquire and maintain computational infrastructure to develop, implement and execute software applications is cloud computing. Cloud computing services are offered by providers and can be classified into three modalities: Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS) and Infrastructure-as-a-Service (IaaS). In IaaS, the providers offer services divided into instances. With this, the user has a virtual machine at their disposal with the computational resources desired at a given cost. The main challenge faced by companies is to choose what is the best pricing plan (instance/provider) to supply their computational demand. Frequently, these companies need a large computational infrastructure to manage and improve their business processes and, due to the high cost of maintaining local infrastructure, they have begun to migrate applications to the cloud. This work aims to provide insights that can help companies in selection process of the best provider/instance to deploy and execute integrations solutions in the cloud. For this, a preliminary study to construction of a new proposal for price modeling of instances of virtual machines using linear regression is presented. In this approach, we consider the providers Amazon EC2, Google Compute Engine and Microsoft Windows Azure.
机译:用户减少获取和维护用于开发,实施和执行软件应用程序的计算基础架构的成本的另一种选择是云计算。云计算服务由提供商提供,可以分为三种模式:平台即服务(PaaS),软件即服务(SaaS)和基础架构即服务(IaaS)。在IaaS中,提供者提供的服务分为实例。这样,用户就可以使用虚拟机,并以给定的成本获得所需的计算资源。公司面临的主要挑战是选择最佳的定价计划(实例/提供者)来满足他们的计算需求。这些公司经常需要大型的计算基础架构来管理和改善其业务流程,并且由于维护本地基础架构的高昂成本,他们已开始将应用程序迁移到云中。这项工作旨在提供见解,可以帮助公司选择最佳提供商/实例的过程,以在云中部署和执行集成解决方案。为此,提出了一项初步研究,以构建使用线性回归对虚拟机实例的价格进行建模的新建议。在这种方法中,我们考虑了提供者Amazon EC2,Google Compute Engine和Microsoft Windows Azure。

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