基于神经计算的云环境下计算机集群网络通信模式

Weijie Zhang, Kaitai Xiao
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引用次数: 0

摘要

本文分析了基于神经计算的云环境下计算机集群网络的通信方式。云计算可以充分利用虚拟技术,将许多客户端和工作站有效地组合成一个整体,形成一个虚拟的计算实验室,从大的角度提高效率。在云计算环境中分布式存储备份产生之前,基于计算机服务器的数据存储备份方式通常比较杂,主要是通过提高其可扩展性来增加其存储备份空间,以满足数据包存储和上传等相关应用功能的需求。因此,本文提供了网络通信模型的新视角。测试结果表明,效率得到了提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communication Mode of Computer Cluster Network in Cloud Environment based on Neural Computing
Communication mode of the computer cluster network in cloud environment based on the neural computing is analyzed in this manuscript. Cloud computing can make full use of virtual technology and effectively combine many clients and workstations into a whole to form a virtual computing laboratory which will enhance the efficiency from a large perspective. Before the generation of distributed storage backup in cloud computing environment, the data storage backup method based on the computer server is usually more miscellaneous, which is to increase its storage backup space by improving its scalability, so as to meet the requirements of related application functions of data packet storage and upload. Hence, this paper provides the novel perspectives of the network communication model. The test shows that efficiency is improved.
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