Tailored platforms as cloud service

Martin Bobák, L. Hluchý, V. Tran
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引用次数: 7

Abstract

Cloud computing is one of the key tools used in the analysis of big data. Cloud users have the option to work with the infrastructure (IaaS) or with the platform (PaaS). At first glance it may seem that PaaS is an ideal tool for this task. However, a closer look at PaaS reveals that there are several problems regarding clouds. The main problem is the static aspect of clouds. Users cannot customize the platform on their demand. They have to change the platform or work with the existing cloud infrastructure. Therefore the concept of tailored platform is presented in this paper. Tailored platforms are adaptable to the requirements of users. An abstract model was used for designing the tailored platforms architecture. The platforms are deployed in the clouds environment consists of clouds provided by different providers (multicloud environment). Users also have the opportunity to optimize the application runs using multiple criteria.
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量身定制的云服务平台
云计算是大数据分析的关键工具之一。云用户可以选择使用基础设施(IaaS)或平台(PaaS)。乍一看,PaaS似乎是完成这项任务的理想工具。然而,仔细研究PaaS就会发现存在一些关于云的问题。主要的问题是云的静态方面。用户不能根据自己的需求定制平台。他们必须改变平台或使用现有的云基础设施。因此,本文提出了定制平台的概念。量身定制平台,适应用户需求。采用抽象模型设计定制化平台体系结构。平台部署在由不同提供商提供的云组成的云环境中(多云环境)。用户也有机会使用多个标准来优化应用程序的运行。
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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