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arXiv 1402.4663cs.DCcs.NIcs.SYeess.SY
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未来计算模型中反馈概念的概念

Concept of Feedback in Future Computing Models to Cloud Systems

Moscow Technological Institute «WTU»(莫斯科技术学院(WTU))

Evgeniy Pluzhnik, Evgeniy Nikulchev, Simon Payain

AI总结:

本文探讨了未来计算模型在云系统中反馈机制的重要性,提出反馈模型作为分布式计算过程的新基础,并用于评估分布式数据库的结构复杂性和混合云系统的动态特性。

摘要:

目前,确保分布式计算系统中的服务质量(QoS)变得尤为迫切,尤其是在云服务的发展和普及过程中。大数据结构变得高度分布化,有必要在未来的计算模型设计中考虑通信通道、数据传输系统、虚拟化和可扩展性,以解决云系统设计、算法有效性评估和数据中心经济性能数据的评估问题。不仅需要监控数据流和计算资源,还需要对这些资源进行操作管理以提供QoS。此类工具可能仅仅是引入反馈到计算模型中。本文提出了以反馈为主导的动力学模型作为分布式计算过程新模型的基础。研究结果在此呈现。本文提出的方法可用于其他复杂任务,如分布式数据库的结构复杂性估计和混合云系统动态特性评估等。

英文摘要:

Currently, it is urgent to ensure QoS in distributed computing systems. This became especially important to the development and spread of cloud services. Big data structures become heavily distributed. Necessary to consider the communication channels and data transmission systems and virtualization and scalability in future design of computational models in problems of designing cloud systems, evaluating the effectiveness of the algorithms, the assessment of economic performance data centers. Requires not only the monitoring of data flows and computing resources, but also the operational management of these resources to QoS provide. Such a tool may be just the introduction of feedback in computational models. The article presents the main dynamic model with feedback as a basis for a new model of distributed computing processes. The research results are presented here. Formulated in this work can be used for other complex tasks - estimation of structural complexity of distributed databases, evaluation of dynamic characteristics of systems operating in the hybrid cloud, etc.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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