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General Model for Adequate Cloud Service Selection using Decision Making Methods

机译:使用决策方法进行适当的云服务选择的通用模型

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摘要

Cloud Computing (CC) is a technology that surely brings innovations in today's business world, more and more companies around the world are widely incorporating this technology into their businesses. From a technical, as well as organizational point of view transferring enterprise IT to the Cloud is a complex task. Various factors have to be taken into consideration in order to make a right choice when moving IT services to the Cloud. The goal of this paper is to identify and to discuss in detail all factors that influence organization's decision to adopt Cloud. General model for Cloud adoption, introduced in Pantelic et al., consists of the key factors driving the organizational benefits when moving to the Cloud. The purpose of the model is to support decision makers in evaluating the benefits, risks and costs of using Cloud Computing. In this paper the general model is extended with two new aggregation methods for harmonization of alternatives rankings in a group decision process. We present the results of two new methods using the method results from previous research [13], as rank inputs, into an aggregate (group) preference. The idea is to find consensus ranking that minimizes disagreement among previous methods results. There were no strong differences between the results of performed methods. The results have shown that Software as a service model and Storage as a service model dominated according to not just arithmetic-mean method, but also to geometric-mean method.
机译:云计算(CC)是一项必将在当今的商业世界中带来创新的技术,世界各地越来越多的公司正在将该技术广泛应用于其业务中。从技术以及组织的角度来看,将企业IT迁移到云都是一项复杂的任务。为了将IT服务迁移到云中时做出正确的选择,必须考虑各种因素。本文的目的是确定并详细讨论影响组织决定采用云的所有因素。 Pantelic等人介绍的采用云的通用模型包括在迁移到云时驱动组织收益的关键因素。该模型的目的是支持决策者评估使用云计算的收益,风险和成本。在本文中,通用模型扩展了两种新的聚合方法,用于在群体决策过程中协调备选方案的排名。我们使用以前的研究[13]的方法结果作为排名输入,提出了两种新方法的结果,并将它们作为总的(组)偏好。想法是找到共识等级,以最大程度减少以前方法结果之间的分歧。所执行方法的结果之间没有强烈差异。结果表明,软件即服务模型和存储即服务模型不仅根据算术平均法而且还取决于几何平均法。

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