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Price modeling of laaS providers using multiple regression

机译：LAAS提供商使用多元回归的价格造型

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摘要

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：用户减少收购成本和维护计算基础架构以开发，实现和执行软件应用程序的替代方案是云计算。云计算服务由提供商提供，可以分为三种模式：平台 - AS-Service（PAAS），软件服务（SAAS）和基础架构 - AS-AS-Service（IAAS）。在IAAS中，提供商提供的服务分为实例。有了这个，用户可以使用虚拟机，并以给定的成本所需的计算资源。公司面临的主要挑战是选择最佳定价计划（实例/提供商）以供应计算需求。通常，这些公司需要大量的计算基础架构来管理和改进业务流程，并且由于维护本地基础架构的高成本，他们已经开始将应用程序迁移到云端。这项工作旨在提供有助于帮助在云中部署和执行集成解决方案的最佳提供商/实例的选择过程中的洞察。为此，提出了一种初步研究，建立使用线性回归的虚拟机实例的价格建模新提案。在这种方法中，我们考虑提供者Amazon EC2，Google Compute Engine和Microsoft Windows Azure。

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