数据中心虚拟基础架构中云应用与服务优化的算法与模型研究

I. Bolodurina, D. Parfenov
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引用次数: 1

摘要

数据中心广泛用于放置用于处理大量数据(大数据)的高负载应用程序和解决方案。该研究开发了一个云应用和服务模型。该模型的新颖之处在于在多组分系统的研究中使用了智能分析和动态特性预测的方法。为了提供灵活性,使用面向代理的编程构建模型。数据中心的多个对象建模为代理。在这种情况下,每个节点都是一个代理平台,它控制其他代理。代理充当云应用程序和云服务的数据资源。该模型的一个显著特征是执行任务所需的一组单独参数。它形式化地反映在服务质量遵从性需求中,作为资源特征的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of algorithms and models of optimization of cloud applications and services in virtual infrastructure of data center
Data centers are widely used for the placement of highly loaded applications and solutions used to process large amounts of data (Big Data). The study developed a model of cloud application and services. The novelty of this model is the use of methods of intellectual analysis and prediction of dynamic characteristics in the study of multicomponent systems. In order to provide flexibility built models used agent-oriented programming. Plurality objects of data center modeled as agents. Each node in this case is an platform of agents, which controls other agents. Agents that act as data resources for cloud applications and cloud services. A distinctive feature of the proposed model is a set of individual parameters needed to perform tasks. It formalizing reflected in the quality of service compliance requirements as part of resource characteristics.
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